Publication:
Generative capacities of cellular automata codification for evolution of NN codification

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URI: https://hdl.handle.net/10016/4522
ISSN: 0302-9743 (Print)
ISSN: 1611-3349 (Online)
ISBN: 978-3-540-44074-1
DOI: 10.1007/3-540-46084-5_52
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generative_galvan_2002_ps.pdf (351.98 KB)
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2002
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Springer
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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.
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Proceeding of: International Conference on Artificial Neural Networks. ICANN 2002, Madrid, Spain, August 28-30, 2002
Keywords
Artificial neural networks, NN codification
Bibliographic citation
Conference on Artificial Neural Networks. ICANN 2002, España, p. 314-319
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