B-spline and neuro-fuzzy models design with function and derivative equalities

Cabrita, Cristiano Lourenço; Ruano, Antonio

http://hdl.handle.net/10400.1/145

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Authors

Cabrita, Cristiano Lourenço

Ruano, Antonio

Abstract(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.