Fuzzy grammatical inference using neural network

• Autores: Antonio Blanco Ferro, Miguel Delgado Calvo-Flores, María del Carmen Pegalajar Jiménez
• Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 5, Nº. 2-3, 1998, págs. 133-140
• Idioma: inglés
• Títulos paralelos:
  • Inferencia gramatical difusa utilizando red neuronal
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• Resumen

  • We have shown a model of fuzzy neural network that is able to infer the relations associated to the transitions of a fuzzy automaton from a fuzzy examples set. Neural network is trained by a backpropagation of error based in a smooth derivative [1]. Once network has been trained the fuzzy relations associated to the transitions of the automaton are found encoded in the weights.