SciELO - Scientific Electronic Library Online

 
vol.20 issue4A 3μW Low-Power CMOS Class-AB Bilateral Current Mirror for Low-Voltage ApplicationsA Mathematical Model for Optimizing Resources of Scientific Projects author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Computación y Sistemas

Print version ISSN 1405-5546

Abstract

CABRERA-HERNANDEZ, Leidys; MORALES-HERNANDEZ, Alejandro  and  CASAS-CARDOSO, Gladys María. Diversity Measures for Building Multiple Classifier Systems Using Genetic Algorithms. Comp. y Sist. [online]. 2016, vol.20, n.4, pp.729-747. ISSN 1405-5546.  http://dx.doi.org/10.13053/cys-20-4-2513.

In this paper we present the different diversity measures that exist in the literature to decide if a set of classifiers is diverse, aspect that is very important in the creation of multi-classifier systems. The modeling for building multi-classifier systems using meta-heuristic of Genetic Algorithm to ensure the best possible accuracy and greater diversity among the classifiers is presented. Various forms of combination for diversity measures are also enunciated. Finally, we discuss two experiments in which the individual behaviors of diversity measures and their combinations are analyzed.

Keywords : Diversity measures; multi-classifier; classifiers; genetic algorithms.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )