Fuzzy grammatical inference using neural network

  1. Blanco Ferro, Antonio
  2. Delgado Calvo-Flores, Miguel
  3. Pegalajar Jiménez, María del Carmen
Revista:
Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology

ISSN: 1134-5632

Año de publicación: 1998

Volumen: 5

Número: 2-3

Páginas: 133-140

Tipo: Artículo

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Otras publicaciones en: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology

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.

Fuente de los datos: Dialnet