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Single and multi-objective genetic programming design for B-spline neural networks and neuro-fuzzy systems
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Orientador(es)
Resumo(s)
The design phase of B-spline neural networks and neuro-fuzzy systems is a highly computationally complex task. Existent heuristics, namely the ASMOD algorithm, have been found to be highly dependent on the initial conditions employed. A Genetic Programming approach is proposed, which produces an efficient topology search, obtaining additionally more consistent solutions. The facility to incorporate a multi-objective approach to the GP algorithm is exploited, enabling the designer to obtain better conditioned models, and more adequate for their intended use.
Descrição
Palavras-chave
Constructive algorithms B-Splines Neuro-fuzzy systems Genetic programming Single and multi-objective optimization
Contexto Educativo
Citação
Cabrita, C.; Ruano, A. E.; Fonseca, C. M. Single and Multi-Objective Genetic Programming Design for B-Spline Neural Networks and Neuro-Fuzzy Systems, Trabalho apresentado em IFAC Workshop on Advanced Fuzzy-Neural Control (AFNC' 01), In IFAC Workshop on Advanced Fuzzy-Neural Control (AFNC' 01), Valencia, 2001.