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B-spline and neuro-fuzzy models design with function and derivative equalities
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Orientador(es)
Resumo(s)
The design of neuro-fuzzy models is still a complex problem, as it involves not only the determination of the model parameters, but also its structure. Of special importance is the incorporation of a priori information in the design process. In this paper two known design algorithms for B-spline models will be updated to account for function and derivatives equality restrictions, which are important when the neural model is used for performing single or multi-objective optimization on-line.
Descrição
Palavras-chave
Constructive algorithms Genetic programming Neuro-fuzzy systems B-Splines
Contexto Educativo
Citação
Ruano, A.; Cabrita, C. B-spline and neuro-fuzzy models design with function and derivative equalities, Trabalho apresentado em 2004 World Automation Congress (WAC 2004), In 2004 World Automation Congress (WAC 2004), Sevilla, 2004.