Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration

Authors:
Humberto Sossa;Beatriz A. Garro;Juan Villegas;Carlos Avilés;Gustavo Olague
Affiliations:
CIC-IPN, México, D. F., Mexico;CIC-IPN, México, D. F., Mexico;UAM-Azcapotzalco, México, D. F., Mexico;UAM-Azcapotzalco, México, D. F., Mexico;CICESE, Ensenada, B. C., Mexico
Venue:
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Year:
2012

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Abstract

In this note we present our most recent advances in the automatic design of artificial neural networks (ANNs) and associative memories (AMs) for pattern classification and pattern recall. Particle Swarm Optimization (PSO), Differential Evolution (DE), and Artificial Bee Colony (ABC) algorithms are used for ANNs; Genetic Programming is adopted for AMs. The derived ANNs and AMs are tested with several examples of well-known databases. As we will show, results are very promising.