Completely supervised training algorithms for B-spline neural networks and neuro-fuzzy systems

Ruano, Antonio; Cabrita, Cristiano Lourenço; Oliveira, J. V.; Kóczy, László T.

http://hdl.handle.net/10400.1/2298

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Authors

Ruano, Antonio

Cabrita, Cristiano Lourenço

Oliveira, J. V.

Kóczy, László T.

Abstract(s)

Complete supervised training algorithms for B-spline neural networks and fuzzy rule-based systems are discussed. By interducing the relationship between B-spline neural networks and certain types of fuzzy models, training algorithms developed initially for neural networks can be adapted by fuzzy systems.

Keywords

Training algorithms Neural networks B-splines Fuzzy systems Linear and nonlinear separability

URI

http://hdl.handle.net/10400.1/2298

Citation

Ruano, A. E.; Cabrita, C.; Oliveira, J. V.; Koczy, L. T. Completely Supervised Training Algorithms For B-Spline Neural Networks And Neuro-Fuzzy Systems, Trabalho apresentado em IFAC Conference on New Technologies for Computer Control (NTCC’2001), In IFAC Conference on New Technologies for Computer Control (NTCC’2001), Hong-Kong, 2001.