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

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 sys...

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Detalhes bibliográficos
Autor principal: Ruano, Antonio (author)
Outros Autores: Cabrita, Cristiano Lourenço (author), Oliveira, J. V. (author), Kóczy, László T. (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2013
Assuntos:
Training algorithms
Neural networks
B-splines
Fuzzy systems
Linear and nonlinear separability
Texto completo:http://hdl.handle.net/10400.1/2298
País:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2298
Descrição
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.

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