<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462022000200683</article-id>
<article-id pub-id-type="doi">10.13053/cys-26-2-4251</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Ensemble Recurrent Neural Network Design Using a Genetic Algorithm Applied in Times Series Prediction]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pulido]]></surname>
<given-names><![CDATA[Martha]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[Patricia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Tijuana Institute of Technology  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2022</year>
</pub-date>
<volume>26</volume>
<numero>2</numero>
<fpage>683</fpage>
<lpage>700</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462022000200683&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462022000200683&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462022000200683&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: This paper shows a new method based on ensemble recurrent neural networks for time series prediction. The proposed method seeks to find the structure of ensemble recurrent neural network and its optimization with Genetic Algorithms applied to the prediction of time series. For this method, two systems are proposed to integrate responses ensemble recurrent neural network that are type-1 and Interval type-2 Fuzzy Systems. The optimization consists of the modules, hidden layer, neurons of the ensemble neural network. The fuzzy system used is of Mamdani type, which has five input variables and one output variable, and the number of inputs of the fuzzy system is according to the outputs of Ensemble Recurrent Neural network. Test are performed with Mackey Glass benchmark, Mexican Stock Exchange, Dow Jones and Exchange Rate of US Dollar/Mexican Pesos. In this way was shown that the method is effective for time series Prediction.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Time series prediction]]></kwd>
<kwd lng="en"><![CDATA[genetic algorithm]]></kwd>
<kwd lng="en"><![CDATA[ensemble recurrent neural network]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Apaydin]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Feizi]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Sattari]]></surname>
<given-names><![CDATA[M. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Colak]]></surname>
<given-names><![CDATA[M. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Shamshirband]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Chau]]></surname>
<given-names><![CDATA[K. W.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparative analysis of recurrent neural network architectures for reservoir inflow forecasting]]></article-title>
<source><![CDATA[Water]]></source>
<year>2020</year>
<volume>12</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>1-18</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Haber]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Chi]]></surname>
<given-names><![CDATA[E. H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Antisymmetric RNN: A dynamical system view on recurrent neural networks]]></source>
<year>2019</year>
<conf-name><![CDATA[ International Conference on Learning Representations]]></conf-name>
<conf-loc> </conf-loc>
<page-range>2-6</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Brockwell]]></surname>
<given-names><![CDATA[P. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Davis]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Introduction to time series and forecasting]]></source>
<year>2002</year>
<page-range>259316</page-range><publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Springer-Verlag]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Hidalgo]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Cervantes]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fuzzy parameter adaptation in genetic algorithms for the optimization of fuzzy integrators in modular neural networks for multimodal biometry]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2020</year>
<volume>24</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>1093-105</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Amador-Angulo]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generalized type-2 fuzzy logic approach for dynamic parameter adaptation in bee colony optimization applied to fuzzy controller design]]></article-title>
<source><![CDATA[Information Sciences]]></source>
<year>2018</year>
<volume>460-461</volume>
<page-range>476-96</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[Comparison of hybrid intelligent systems neural networks and interval type-2 fuzzy logic for time series prediction]]></source>
<year>2007</year>
<conf-name><![CDATA[ IJCNN]]></conf-name>
<conf-date>2007</conf-date>
<conf-loc> </conf-loc>
<page-range>3086-91</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory]]></article-title>
<source><![CDATA[Neural Networks, IEEE Transactions on]]></source>
<year>2002</year>
<volume>13</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1395-408</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[Simulation and forecasting complex economic time series using neural networks and fuzzy logic]]></source>
<year>2001</year>
<volume>3</volume>
<conf-name><![CDATA[ International Neural Networks Conference]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1805-10</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[Simulation and forecasting complex financial time series using neural networks and fuzzy logic]]></source>
<year>2001</year>
<volume>4</volume>
<conf-name><![CDATA[ IEEE the International Conference on Systems, Man and Cybernetics]]></conf-name>
<conf-loc> </conf-loc>
<page-range>2664-9</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[Type-2 fuzzy systems, type-2 fuzzy logic theory and application]]></source>
<year>2008</year>
<page-range>30-43</page-range><publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[Comparison of hybrid intelligent systems, neural networks and interval type-2 fuzzy logic for time series prediction]]></source>
<year>2007</year>
<conf-name><![CDATA[ IJCNN]]></conf-name>
<conf-loc> </conf-loc>
<page-range>3086-91</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castro]]></surname>
<given-names><![CDATA[J. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Mendoza]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Rodríguez-Díaz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An interval type-2 fuzzy neural network for chaotic time series prediction with cross-validation and akaike test]]></article-title>
<source><![CDATA[Soft Computing for Intelligent Control and Robotics]]></source>
<year>2011</year>
<volume>318</volume>
<page-range>269-85</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Smith]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Jin]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction]]></article-title>
<source><![CDATA[Neurocomputing]]></source>
<year>2014</year>
<volume>143</volume>
<page-range>1-10</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cowpertwait]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Metcalfe]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Time series, introductory time series with R]]></source>
<year>2009</year>
<publisher-loc><![CDATA[Dordrecht ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="">
<collab>Dow Jones Company</collab>
<source><![CDATA[]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fekri]]></surname>
<given-names><![CDATA[M. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Patel]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Grolinger]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Sharma]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning for load forecasting with smart meter data: Online adaptive recurrent neural network]]></article-title>
<source><![CDATA[Applied Energy]]></source>
<year>2021</year>
<volume>282</volume>
<page-range>1-17</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gaxiola]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Valdez]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction]]></article-title>
<source><![CDATA[Information Sciences]]></source>
<year>2014</year>
<volume>260</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-14</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Goldberg]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Genetic algorithms in search, optimization and machine learning]]></source>
<year>1989</year>
<publisher-name><![CDATA[Addison Wesley]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hewamalage]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Bergmeir]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Bandara]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<source><![CDATA[Recurrent neural networks for time series forecasting: current status and future directions]]></source>
<year>2021</year>
<volume>37</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>388-427</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Triebe]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Hewamalage]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Pilyugina]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Laptev]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Bergmeir]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Rajagopal]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[Neuralprophet: explainable forecasting at scale]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jerome]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Connor]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Douglas]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Recurrent neural networks and robust time series Prediction]]></article-title>
<source><![CDATA[IEEE Transactions on Neural Networks]]></source>
<year>1994</year>
<volume>5</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>240-54</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Chai]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Paper citation count prediction based on recurrent neural network with gated recurrent unit]]></source>
<year>2020</year>
<conf-name><![CDATA[ IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)]]></conf-name>
<conf-loc> </conf-loc>
<page-range>303-6</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jilani]]></surname>
<given-names><![CDATA[T. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Burney]]></surname>
<given-names><![CDATA[S. M. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A refined fuzzy time series model for stock market forecasting]]></article-title>
<source><![CDATA[Physica-A-Statistical mechanics and its applications]]></source>
<year>2008</year>
<volume>387</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>2857-62</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Chai]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Paper citation count prediction based on recurrent neural network with gated recurrent unit]]></source>
<year>2020</year>
<conf-name><![CDATA[ IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)]]></conf-name>
<conf-loc> </conf-loc>
<page-range>303-6</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Karnik]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Mendel]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Applications of type-2 fuzzy logic systems to forecasting of time-series]]></article-title>
<source><![CDATA[Information Sciences]]></source>
<year>1999</year>
<volume>120</volume>
<numero>1&#8211;4</numero>
<issue>1&#8211;4</issue>
<page-range>89-111</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Karnik]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Mendel]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Operations on type-2 set]]></article-title>
<source><![CDATA[Fuzzy Set and Systems]]></source>
<year>2001</year>
<volume>122</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>327-48</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Seng]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A combined method for short-term traffic flow prediction based on recurrent neural network]]></article-title>
<source><![CDATA[Alexandria Engineering Journal]]></source>
<year>2021</year>
<volume>60</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>87-94</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mackey]]></surname>
<given-names><![CDATA[M. C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Adventures in Poland: having fun and doing research with Andrzej Lasota]]></article-title>
<source><![CDATA[Mat. Stosow]]></source>
<year>2007</year>
<page-range>5-32</page-range></nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mackey]]></surname>
<given-names><![CDATA[M. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Glass]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Oscillation and chaos in physiological control systems]]></article-title>
<source><![CDATA[Science]]></source>
<year>1997</year>
<volume>197</volume>
<numero>4300</numero>
<issue>4300</issue>
<page-range>287-9</page-range></nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Man]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Tang]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Kwong]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Genetic algorithms and designs, introduction, background and biological background]]></source>
<year>1998</year>
<page-range>1-62</page-range><publisher-name><![CDATA[Springer-Verlag London Limited]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[González]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Cota]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Trujillo]]></surname>
<given-names><![CDATA[W. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Osuna]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[Design of modular neural networks with fuzzy integration applied to time series prediction]]></source>
<year>2007</year>
<volume>41</volume>
<page-range>265-73</page-range><publisher-loc><![CDATA[Berlin ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Soto]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Soria]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A new approach for time series prediction using ensembles of anfis models]]></article-title>
<source><![CDATA[Expert Systems with Applications]]></source>
<year>2012</year>
</nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mendel]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Uncertain rule-based fuzzy logic systems, introduction of new directions]]></source>
<year>2001</year>
<volume>2</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>72-3</page-range><publisher-name><![CDATA[Prentice-Hall, Inc.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mencattini]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Salmeri]]></surname>
<given-names><![CDATA[M. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Mertazzoni]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Lojacono]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Pasero]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Moniaci]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
</person-group>
<source><![CDATA[Local meteorological forecasting by type-2 fuzzy systems time series prediction]]></source>
<year>2005</year>
<conf-name><![CDATA[ CIMSA - IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Giardini Naxos]]></conf-name>
<conf-loc>Italy </conf-loc>
<page-range>20-2</page-range></nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="">
<collab>Mexican Bank Database</collab>
<source><![CDATA[]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Min]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Jianhui]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Shiguo]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Fu-Liang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Pred of chaotic time series based on the recurrent predictor neural network]]></article-title>
<source><![CDATA[IEEE]]></source>
<year>2004</year>
<volume>52</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>3409-16</page-range></nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mikolov]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Kombrink]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Burget]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[&#268;ernocký]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Khudanpur]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Extensions of recurrent neural network language model]]></source>
<year>2011</year>
<conf-name><![CDATA[ IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)]]></conf-name>
<conf-loc> </conf-loc>
<page-range>552-5531</page-range></nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Olivas]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Valdez]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Sombra]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Interval type-2 fuzzy logic for dynamic parameter adaptation in a modified gravitational search algorithm]]></article-title>
<source><![CDATA[Information Sciences]]></source>
<year>2019</year>
<volume>476</volume>
<page-range>159-75</page-range></nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Niu]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[O&#8217;Neill]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons]]></article-title>
<source><![CDATA[Renewable Energy]]></source>
<year>2020</year>
<volume>156</volume>
<page-range>279-89</page-range></nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Valdez]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Peraza]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fuzzy logic in dynamic parameter adaptation of harmony search optimization for benchmark functions and fuzzy controller]]></article-title>
<source><![CDATA[International Journal of Fuzzy Systems]]></source>
<year>2020</year>
<volume>22</volume>
<page-range>1198-211</page-range></nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Petnehazi]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<source><![CDATA[Recurrent neural networks for time series forecasting]]></source>
<year>2019</year>
<page-range>1-22</page-range><publisher-name><![CDATA[University of Debrecen]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pulido]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ensemble recurrent neural networks for complex time series prediction with integration methods]]></article-title>
<source><![CDATA[Fuzzy logic hybrid extensions of neural and optimization algorithms theory and applications]]></source>
<year>2021</year>
<volume>940</volume>
<page-range>71-83</page-range></nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pulido]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Mancilla]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An ensemble neural network architecture with fuzzy response integration for complex time series prediction]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Pedrycz]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Kacprzyk]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control]]></source>
<year>2009</year>
<volume>257</volume>
<page-range>85-110</page-range><publisher-loc><![CDATA[Berlin ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B44">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pulido]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange]]></article-title>
<source><![CDATA[Information Sciences]]></source>
<year>2014</year>
<volume>208</volume>
<page-range>188-204</page-range></nlm-citation>
</ref>
<ref id="B45">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Pulido]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optimization of ensemble neural networks with type-2 fuzzy integration of responses for the dow jones time series prediction]]></article-title>
<source><![CDATA[Intelligent Automation &amp; Soft Computing]]></source>
<year>2014</year>
<volume>20</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>403-18</page-range></nlm-citation>
</ref>
<ref id="B46">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pulido]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of genetic algorithm and particle swarm optimization of ensemble neural networks for complex time series prediction]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Kacprzyk]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Recent Advances of Hybrid Intelligent Systems Based on Soft Computing]]></source>
<year>2021</year>
<volume>915</volume>
<publisher-loc><![CDATA[Cham ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B47">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rohitash]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Mengjie]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cooperative coevolution of Elman recurrent neural networks for chaotic time series Prediction]]></article-title>
<source><![CDATA[Neurocomputing]]></source>
<year>2012</year>
<volume>86</volume>
<page-range>116-23</page-range></nlm-citation>
</ref>
<ref id="B48">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sharkey]]></surname>
<given-names><![CDATA[A. J. C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Combining artificial neural nets: ensemble and modular multi-net systems]]></article-title>
<source><![CDATA[Perspectives in Neural Computing]]></source>
<year>1999</year>
<publisher-loc><![CDATA[London ]]></publisher-loc>
<publisher-name><![CDATA[Springer-Verlag]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B49">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sharkey]]></surname>
<given-names><![CDATA[A. J. C.]]></given-names>
</name>
</person-group>
<source><![CDATA[One combining artificial of neural nets]]></source>
<year>1996</year>
<volume>8</volume>
<numero>3-4</numero>
<issue>3-4</issue>
<publisher-loc><![CDATA[U.K. ]]></publisher-loc>
<publisher-name><![CDATA[Department of Computer Science University of Sheffield]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B50">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sherstinsky]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network]]></article-title>
<source><![CDATA[Physica D: Nonlinear Phenomena]]></source>
<year>2020</year>
<volume>404</volume>
<page-range>1-28</page-range></nlm-citation>
</ref>
<ref id="B51">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Slawek]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting]]></article-title>
<source><![CDATA[International Journal of Forecasting]]></source>
<year>2020</year>
<volume>36</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>75-85</page-range></nlm-citation>
</ref>
<ref id="B52">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sollich]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Krogh]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Touretzky]]></surname>
<given-names><![CDATA[D. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Mozer]]></surname>
<given-names><![CDATA[M. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Hasselmo]]></surname>
<given-names><![CDATA[M. E.]]></given-names>
</name>
</person-group>
<source><![CDATA[Learning with ensembles: how over-fitting can be useful]]></source>
<year>1996</year>
<conf-name><![CDATA[ Advances in Neural Information Processing Systems 8]]></conf-name>
<conf-loc>Denver, CO </conf-loc>
<page-range>190-6</page-range><publisher-loc><![CDATA[Cambridge, MA ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B53">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Soto]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A new approach for time series prediction using ensembles of it2fnn models with optimization of fuzzy integrators]]></article-title>
<source><![CDATA[International Journal of Fuzzy Systems]]></source>
<year>2018</year>
<volume>20</volume>
<page-range>701-28</page-range></nlm-citation>
</ref>
<ref id="B54">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Soto]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Melin]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Time series prediction using ensembles of ANFIS models with genetic optimization of interval type-2 and type-1 fuzzy integrators]]></article-title>
<source><![CDATA[International Journal of Hybrid Intelligent system]]></source>
<year>2014</year>
<volume>11</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>211-26</page-range></nlm-citation>
</ref>
<ref id="B55">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sudipto]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Raghava]]></surname>
<given-names><![CDATA[G. P. S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prediction of continuous B-cell epitopes in an antigen using recurrent neural network]]></article-title>
<source><![CDATA[National Library of Medicine]]></source>
<year>2006</year>
<volume>65</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>40-8</page-range></nlm-citation>
</ref>
<ref id="B56">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Walid]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Recurrent neural network for forecasting time series with long memory pattern]]></article-title>
<source><![CDATA[Journal of Physics: Conference Series]]></source>
<year>2016</year>
<volume>824</volume>
<page-range>1-8</page-range></nlm-citation>
</ref>
<ref id="B57">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wei]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhan]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[H. Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[Y. P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks]]></article-title>
<source><![CDATA[Geoscience Frontiers]]></source>
<year>2020</year>
<volume>12</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>453-67</page-range></nlm-citation>
</ref>
<ref id="B58">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Whitley]]></surname>
<given-names><![CDATA[L. D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Foundations of genetic algorithms 2]]></source>
<year>2017</year>
<publisher-name><![CDATA[Morgan Kaufman Publishers]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B59">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Dongjin]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Haifeng]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Wei]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Guofei]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Garrison]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A dual-stage attention-based recurrent neural network for time series prediction]]></article-title>
<source><![CDATA[Computer science]]></source>
<year>2017</year>
<page-range>1-7</page-range><publisher-name><![CDATA[Cornell University]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B60">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zadeh]]></surname>
<given-names><![CDATA[L. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fuzzy sets]]></article-title>
<source><![CDATA[Information and control]]></source>
<year>1965</year>
<volume>8</volume>
<page-range>338-53</page-range></nlm-citation>
</ref>
<ref id="B61">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhan]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Man]]></surname>
<given-names><![CDATA[K. F.]]></given-names>
</name>
</person-group>
<source><![CDATA[Time series Prediction using recurrent neural network in multi-dimension embedding phase space]]></source>
<year>1998</year>
<volume>2</volume>
<conf-name><![CDATA[ IEEE International Conference on Systems, Man and Cybernetics]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1868-73</page-range></nlm-citation>
</ref>
<ref id="B62">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Peng]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhuang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simulating reservoir operation using a recurrent neural network algorithm]]></article-title>
<source><![CDATA[Water]]></source>
<year>2019</year>
<volume>11</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1-18</page-range></nlm-citation>
</ref>
<ref id="B63">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[J. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Xio]]></surname>
<given-names><![CDATA[X. C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Predicting chaotic time series using recurrent neural network]]></source>
<year>2000</year>
<page-range>88-90</page-range></nlm-citation>
</ref>
<ref id="B64">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Guo]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[C. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[F. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Yin]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Improving the reliability of probabilistic multi-step-ahead flood forecasting by fusing unscented Kalman filter with recurrent neural network]]></article-title>
<source><![CDATA[Water]]></source>
<year>2020</year>
<volume>12</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>1-15</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
