2012 | OriginalPaper | Buchkapitel
Automatic Design of Artificial Neural Networks and Associative Memories for Pattern Classification and Pattern Restoration
verfasst von : Humberto Sossa, Beatriz A. Garro, Juan Villegas, Carlos Avilés, Gustavo Olague
Erschienen in: Pattern Recognition
Verlag: Springer Berlin Heidelberg
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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.