Generative Capacities of Cellular Automata Codification for Evolution of NN Codification

Authors:
Germán Gutiérrez;Inés María Galván;José M. Molina;Araceli Sanchís
Affiliations:
-;-;-;-
Venue:
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Year:
2002

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Abstract

Automatic methods for designing artificial neural nets are desired to avoid the laborious and erratically human expert's job. Evolutionary computation has been used as a search technique to find appropriate NN architectures. Direct and indirect encoding methods are used to codify the net architecture into the chromosome. A reformulation of an indirect encoding method, based on two bi-dimensional cellular automata, and its generative capacity are presented.