New aspects on extraction of fuzzy rules using neural networks.

Benítez, José Manuel, et al. "New aspects on extraction of fuzzy rules using neural networks.." Mathware and Soft Computing 5.2-3 (1998): 333-343. <http://eudml.org/doc/39157>.

@article{Benítez1998,
abstract = {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 Backpropagation algorithm, and a set of examples of the system. In this work, some modifications which allow to improve the results, by means of an adaptation or refinement of the variable labels in each rule, or the extraction of local rules using distributed ANN, are showed. An interesting application on the assignement of semantic to the classes obtained in a classification without previous classes process is also included.},
author = {Benítez, José Manuel, Blanco, Armando, Delgado, Miguel, Requena, Ignacio},
journal = {Mathware and Soft Computing},
keywords = {Redes neuronales; Lógica difusa; Teoría del aprendizaje; Normativa; Inteligencia artificial; Teoría de la información; Semántica; artificial neural networks; learning; fuzzy rules; semantics of classification processes},
language = {eng},
number = {2-3},
pages = {333-343},
title = {New aspects on extraction of fuzzy rules using neural networks.},
url = {http://eudml.org/doc/39157},
volume = {5},
year = {1998},
}

TY - JOUR
AU - Benítez, José Manuel
AU - Blanco, Armando
AU - Delgado, Miguel
AU - Requena, Ignacio
TI - New aspects on extraction of fuzzy rules using neural networks.
JO - Mathware and Soft Computing
PY - 1998
VL - 5
IS - 2-3
SP - 333
EP - 343
AB - 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 Backpropagation algorithm, and a set of examples of the system. In this work, some modifications which allow to improve the results, by means of an adaptation or refinement of the variable labels in each rule, or the extraction of local rules using distributed ANN, are showed. An interesting application on the assignement of semantic to the classes obtained in a classification without previous classes process is also included.
LA - eng
KW - Redes neuronales; Lógica difusa; Teoría del aprendizaje; Normativa; Inteligencia artificial; Teoría de la información; Semántica; artificial neural networks; learning; fuzzy rules; semantics of classification processes
UR - http://eudml.org/doc/39157
ER -