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

Ruano, Antonio; Cabrita, Cristiano Lourenço

http://hdl.handle.net/10400.1/2267

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Authors

Ruano, Antonio

Cabrita, Cristiano Lourenço

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.

Keywords

Constructive algorithms Genetic programming Neuro-fuzzy systems B-Splines

URI

http://hdl.handle.net/10400.1/2267

Citation

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.

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