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. © Springer-Verlag Berlin Heidelberg 2002.
Cite
CITATION STYLE
Gutiérrez, G., Galván, I. M., Molina, J. M., & Sanchis, A. (2002). Generative capacities of cellular automata codification for evolution of NN codification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2415 LNCS, pp. 314–319). Springer Verlag. https://doi.org/10.1007/3-540-46084-5_52
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