Completely supervised training algorithms for B-spline neural networks and neuro-fuzzy systems
| Data(s) |
11/02/2013
11/02/2013
2001
28/01/2013
|
|---|---|
| Identificador |
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. AU: ARU00698; JVO01594; CCA01443; |
| Idioma(s) |
eng |
| Direitos |
restrictedAccess |
| Palavras-Chave | #Training algorithms #Neural networks #B-splines #Fuzzy systems #Linear and nonlinear separability |
| Tipo |
conferenceObject |
| Resumo |
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. |
