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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
Controlo automático Redes neuronais Sistemas fuzzy B-splines Programação genética Constructive algorithms Neuro-fuzzy systems Genetic programming
Contexto Educativo
Citação
World Automation Congress (WAC). - Seville, 28 June-1 July 2004. - 6 p