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<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>S1405-55462003000200007</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Memorias Asociativas Basadas en Relaciones de Orden y Operaciones Binarias]]></article-title>
<article-title xml:lang="en"><![CDATA[Associative Memories Based on Orderings and Binary Operators]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Yáñez Márquez]]></surname>
<given-names><![CDATA[Cornelio]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Díaz de León Santiago]]></surname>
<given-names><![CDATA[Juan Luis]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Centro de Investigación en Computación Unidad Profesional Adolfo López Mateos ]]></institution>
<addr-line><![CDATA[D. F. ]]></addr-line>
<country>México</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Centro de Investigación en Computación  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2003</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2003</year>
</pub-date>
<volume>6</volume>
<numero>4</numero>
<fpage>300</fpage>
<lpage>311</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462003000200007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462003000200007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462003000200007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[En este artículo se propone un nuevo modelo de memorias asociativas. Las herramientas matemáticas del nuevo modelo incluyen dos operaciones binarias inventadas ex profeso, cuyos operadores fueron bautizados arbitrariamente con las dos primeras grafias del alfabeto griego: &alpha; y &beta;. Las nuevas memorias asociativas &alpha;&beta; son de dos tipos y cada uno de ellos puede operar en dos modos diferentes. La operación &alpha; es útil en la fase de aprendizaje, mientras que la operación &beta; da sustento a la fase de recuperación de patrones. Las propiedades algebraicas de las operaciones &alpha; y &beta; permiten que las nuevas memorias asociativas &alpha;&beta; exhiban características similares a las que son inherentes a las memorias asociativas morfológicas binarias, en cuanto a capacidades de aprendizaje y almacenamiento, tipos y cantidades de ruido a que son robustas, y las condiciones suficientes para exhibir respuesta perfecta; adicionalmente, es preciso enfatizar que la densidad aritmética de las nuevas memorias asociativas es menor que la correspondiente a las memorias asociativas morfológicas. La razón para tomar como referencia a las memorias asociativas morfológicas para la creación de las memorias &alpha;&beta;, consiste en que los autores de las primeras han mostrado que estas memorias superan en varios aspectos a los modelos conocidos de memorias asociativas hasta los inicios del tercer milenio.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[A new model for associative memories is proposed in this paper. The mathematical tools used in this new model, include two binary operators designed specifically for the memories developed here. These operators were arbitrarily named as the first two letters from the Greek alphabet: &alpha; and &beta;. The new associative memories (&alpha;&beta;) are of two kinds and are able to operate in two different modes. The operator &alpha; is useful at the learning phase, and the operator &beta; is the basis for the pattern recall phase. The properties within the algebraic operators &alpha; and &beta;, allow the &alpha;&beta; memories to exhibit similar characteristics to the ones inherent to the binary version of the morphological associative memories, in the sense of: learning capacity, type and amount of noise against which the memory is robust, and the sufficient conditions for perfect recall. Moreover, it is important to point out that the arithmetic density of the proposed memories is smaller than the arithmetic density exhibited by the morphological ones. The main reason for taking the morphological associative memories as the reference point for the genesis of the proposed ones, consist in that the authors of the first ones have already shown that the morphological associative memories are superior in some aspects to the known models of associative memories, up to the beginning of the third millenium.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Memoria asociativa]]></kwd>
<kwd lng="es"><![CDATA[operación binaria]]></kwd>
<kwd lng="es"><![CDATA[relación de orden]]></kwd>
<kwd lng="es"><![CDATA[memorias asociativas &alpha;&beta;]]></kwd>
<kwd lng="es"><![CDATA[memorias asociativas morfológicas]]></kwd>
<kwd lng="en"><![CDATA[Associative memory]]></kwd>
<kwd lng="en"><![CDATA[binary operation]]></kwd>
<kwd lng="en"><![CDATA[order relation]]></kwd>
<kwd lng="en"><![CDATA[&alpha;&beta; associative memories]]></kwd>
<kwd lng="en"><![CDATA[morphological associative memories]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="justify"><font face="verdana" size="4">Resumen de tesis doctoral </font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="center"><font face="verdana" size="4"><b>Memorias Asociativas Basadas en Relaciones de Orden y Operaciones Binarias</b></font></p>     <p align="center"><font face="verdana" size="2">&nbsp;</font></p>     <p align="center"><font face="verdana" size="4"><i>Associative Memories Based on Orderings and Binary Operators</i></font></p>     <p align="center"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Graduated: Cornelio Y&aacute;&ntilde;ez M&aacute;rquez    <br> </b><i>Graduated on March 20, 2002    <br> </i>Centro de Investigaci&oacute;n en Computaci&oacute;n    <br> Juan de Dios B&aacute;tiz s/n esq. Miguel Otr&oacute;n de Mendizabal    ]]></body>
<body><![CDATA[<br> Unidad Profesional Adolfo L&oacute;pez Mateos    <br> Del. Gustavo A. Madero, M&eacute;xico, D. F.    <br> <b>Email:</b> <a href="mailto:eyanez@cic.ipn.mx">eyanez@cic.ipn.mx</a></font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Advisor : Juan Luis D&iacute;az de Le&oacute;n Santiago    <br> </b>Centro de Investigaci&oacute;n en Computaci&oacute;n    <br> <b>E&#150;mail:</b> <a href="mailto:jdiaz@cic.ipn.nix">jdiaz@cic.ipn.nix</a></font></p>     <p align="center"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Resumen</b></font></p>     <p align="justify"><font face="verdana" size="2"><i>En este art&iacute;culo se propone un nuevo modelo de memorias asociativas. Las herramientas matem&aacute;ticas del nuevo modelo incluyen dos operaciones binarias inventadas ex profeso, cuyos operadores fueron bautizados arbitrariamente con las dos primeras grafias del alfabeto griego: &alpha; y &beta;. Las nuevas memorias asociativas &alpha;&beta; son de dos tipos y cada uno de ellos puede operar en dos modos diferentes. La operaci&oacute;n &alpha; es &uacute;til en la fase de aprendizaje, mientras que la operaci&oacute;n &beta; da sustento a la fase de recuperaci&oacute;n de patrones. Las propiedades algebraicas de las operaciones &alpha; y &beta; permiten que las nuevas memorias asociativas &alpha;&beta; exhiban caracter&iacute;sticas similares a las que son inherentes a las memorias asociativas morfol&oacute;gicas binarias, en cuanto a capacidades de aprendizaje y almacenamiento, tipos y cantidades de ruido a que son robustas, y las condiciones suficientes para exhibir respuesta perfecta; adicionalmente, es preciso enfatizar que la densidad aritm&eacute;tica de las nuevas memorias asociativas es menor que la correspondiente a las memorias asociativas morfol&oacute;gicas. La raz&oacute;n para tomar como referencia a las memorias asociativas morfol&oacute;gicas para la creaci&oacute;n de las memorias &alpha;&beta;, consiste en que los autores de las primeras han mostrado que estas memorias superan en varios aspectos a los modelos conocidos de memorias asociativas hasta los inicios del tercer milenio.</i></font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2"><b>Palabras clave:</b> Memoria asociativa, operaci&oacute;n binaria, relaci&oacute;n de orden, memorias asociativas &alpha;&beta;, memorias asociativas morfol&oacute;gicas.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Abstract</b></font></p>     <p align="justify"><font face="verdana" size="2"><i>A new model for associative memories is proposed in this paper. The mathematical tools used in this new model, include two binary operators designed specifically for the memories developed here. These operators were arbitrarily named as the first two letters from the Greek alphabet: &alpha; and &beta;. The new associative memories (&alpha;&beta;) are of two kinds and are able to operate in two different modes. The operator &alpha; is useful at the learning phase, and the operator &beta; is the basis for the pattern recall phase. The properties within the algebraic operators &alpha; and &beta;, allow the &alpha;&beta; memories to exhibit similar characteristics to the ones inherent to the binary version of the morphological associative memories, in the sense of: learning capacity, type and amount of noise against which the memory is robust, and the sufficient conditions for perfect recall. Moreover, it is important to point out that the arithmetic density of the proposed memories is smaller than the arithmetic density exhibited by the morphological ones. The main reason for taking the morphological associative memories as the reference point for the genesis of the proposed ones, consist in that the authors of the first ones have already shown that the morphological associative memories are superior in some aspects to the known models of associative memories, up to the beginning of the third millenium.</i></font></p>     <p align="justify"><font face="verdana" size="2"><b>Keywords:</b> Associative memory, binary operation, order relation, &alpha;&beta; associative memories, morphological associative memories.</font></p>     <p align="justify">&nbsp;</p>     <p align="justify"><font face="verdana" size="2"><a href="/pdf/cys/v6n4/v6n4a7.pdf" target="_blank">DESCARGAR ARTICULO EN FORMATO PDF</a></font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Agradecimientos</b></font></p>     <p align="justify"><font face="verdana" size="2">Los autores agradecen el apoyo de las siguientes instituciones: Secretar&iacute;a Acad&eacute;mica y COFAA del Instituto Polit&eacute;cnico Nacional, CONACyT y Sistema Nacional de Investigadores.</font></p>     ]]></body>
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D&iacute;az&#150;de&#150;Le&oacute;n Santiago, </b>"Memorias Autoasociativas Morfol&oacute;gicas max: condiciones suficientes para convergencia, aprendizaje y recuperaci&oacute;n de patrones", <i>IT&#150;175, Serie Azul, </i>ISBN 970&#150;36&#150;0035&#150;2, CIC&#150;IPN, M&eacute;xico, 2003.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=2035070&pid=S1405-5546200300020000700016&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p align="justify"><font face="verdana" size="2"><b>Y&aacute;&ntilde;ez&#150;M&aacute;rquez, C y J.L. 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<article-title xml:lang="es"><![CDATA[Memorias asociativas con respuesta perfecta y capacidad infinita]]></article-title>
<source><![CDATA[Memoria del Taller de Inteligencia Artificial TAINA'99]]></source>
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