Evolutionary computation applied to the automatic design of artificial neural networks and associative memories

Humberto Sossa, Beatriz A. Garro, Juan Villegas, Gustavo Olague, Carlos Avilés

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

In this paper we describe how evolutionary computation can be used to automatically design artificial neural networks (ANNs) and associative memories (AMs). In the case of ANNs, Particle Swarm Optimization (PSO), Differential Evolution (DE), and Artificial Bee Colony (ABC) algorithms are used, while Genetic Programming is adopted for AMs. The derived ANNs and AMs are tested with several examples of well-known databases.

Original languageEnglish
Title of host publicationEVOLVE A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II
PublisherSpringer Verlag
Pages285-297
Number of pages13
ISBN (Print)9783642315183
DOIs
StatePublished - 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume175 ADVANCES
ISSN (Print)2194-5357

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