Cabrita, Cristiano LourençoRuano, Antonio2009-02-132009-02-132004World Automation Congress (WAC). - Seville, 28 June-1 July 2004. - 6 pAUT: ARU00698; CCA01443;http://hdl.handle.net/10400.1/145The 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.application/pdfengControlo automáticoRedes neuronaisSistemas fuzzyB-splinesProgramação genéticaConstructive algorithmsNeuro-fuzzy systemsGenetic programmingjournal article