Genetic and bacterial programming for B-Spline neural networks design

Botzheim, J.; Cabrita, Cristiano Lourenço; Kóczy, László T.; Ruano, Antonio

http://hdl.handle.net/10400.1/74

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Autores

Botzheim, J.

Cabrita, Cristiano Lourenço

Kóczy, László T.

Ruano, Antonio

Resumo(s)

The design phase of B-spline neural networks is a highly computationally complex task. Existent heuristics have been found to be highly dependent on the initial conditions employed. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this paper, the Bacterial Programming approach is presented, which is based on the replication of the microbial evolution phenomenon. This technique produces an efficient topology search, obtaining additionally more consistent solutions.

Palavras-chave

Programação genética Programação bacteriana Redes neuronais B-Splines Constructive algorithms B-splines Bacterial programming Genetic programming

URI

http://hdl.handle.net/10400.1/74

Citação

Journal of Advanced Computational Intelligence and Intelligent Informatics. - [S.l.]. - Vol. 11, nº2 (2007), p. 220-230

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