Fuzzy grammatical inference using neural network.

Armando Blanco; A. Delgado; M. Carmen Pegalajar

Mathware and Soft Computing (1998)

  • Volume: 5, Issue: 2-3, page 133-140
  • ISSN: 1134-5632

Abstract

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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.

How to cite

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Blanco, Armando, Delgado, A., and Pegalajar, M. Carmen. "Fuzzy grammatical inference using neural network.." Mathware and Soft Computing 5.2-3 (1998): 133-140. <http://eudml.org/doc/39129>.

@article{Blanco1998,
abstract = {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.},
author = {Blanco, Armando, Delgado, A., Pegalajar, M. Carmen},
journal = {Mathware and Soft Computing},
keywords = {Redes neuronales; Lógica difusa; Teoría del aprendizaje; Inteligencia artificial; fuzzy automata; fuzzy recurrent neural network; fuzzy grammatical inference},
language = {eng},
number = {2-3},
pages = {133-140},
title = {Fuzzy grammatical inference using neural network.},
url = {http://eudml.org/doc/39129},
volume = {5},
year = {1998},
}

TY - JOUR
AU - Blanco, Armando
AU - Delgado, A.
AU - Pegalajar, M. Carmen
TI - Fuzzy grammatical inference using neural network.
JO - Mathware and Soft Computing
PY - 1998
VL - 5
IS - 2-3
SP - 133
EP - 140
AB - 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.
LA - eng
KW - Redes neuronales; Lógica difusa; Teoría del aprendizaje; Inteligencia artificial; fuzzy automata; fuzzy recurrent neural network; fuzzy grammatical inference
UR - http://eudml.org/doc/39129
ER -

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