Browsing by Author "Benítez Sánchez, José Manuel"

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    • Neural methods for obtaining fuzzy rules 

      Benítez Sánchez, José Manuel; Blanco Morón, Armando; Delgado Calvo-Flores, Miguel; Requena Ramos, Ignacio (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1996)
      Article
      Open Access
      In previous papers, we presented an empirical methodology based on Neural Networks for obtaining fuzzy rules which allow a system to be described, using a set of examples with the corresponding inputs and outputs. Now ...

    • New aspects on extraction of fuzzy rules using neural networks 

      Benítez Sánchez, José Manuel; Blanco Morón, Armando; Delgado Calvo-Flores, Miguel; Requena Ramos, Ignacio (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1998)
      Article
      Open Access
      In previous works, we have presented two methodologies to obtain fuzzy rules in order to describe the behaviour of a system. We have used Artificial Neural Netorks (ANN) with the {\it Backpropagation} algorithm, and a set ...