Genetic and bacterial programming for B-spline neural networks design

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

http://hdl.handle.net/10400.1/2254

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Authors

Ruano, Antonio

Botzheim, J.

Cabrita, Cristiano Lourenço

Kóczy, László T.

Abstract(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.

Keywords

Constructive algorithms B-splines Bbacterial programming Genetic programming

URI

http://hdl.handle.net/10400.1/2254

Citation

Ruano, Antonio Eduardo de Barros; Botzheim, J.; Cabrita, C.; Koczy, Laszlo T. Genetic and Bacterial Programming for B-Spline Neural Networks Design, Journal of Advanced Computational Intelligence Informatics, 11, 2, 220-231, 2007.