Neural methods for obtaining fuzzy rules.

Benítez, José Manuel, et al. "Neural methods for obtaining fuzzy rules.." Mathware and Soft Computing 3.3 (1996): 371-382. <http://eudml.org/doc/39089>.

@article{Benítez1996,
abstract = {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 that the previous results have been completed, we present another procedure for obtaining fuzzy rules, also based on Neural Networks with Backpropagation, with no need to establish beforehand the labels or values of the variables that govern the system.},
author = {Benítez, José Manuel, Blanco, Armando, Delgado, Miguel, Requena, Ignacio},
journal = {Mathware and Soft Computing},
keywords = {Aprendizaje; Lógica difusa; Redes neuronales; artificial neural networks; learning; fuzzy rules; semantics of classification processes},
language = {eng},
number = {3},
pages = {371-382},
title = {Neural methods for obtaining fuzzy rules.},
url = {http://eudml.org/doc/39089},
volume = {3},
year = {1996},
}

TY - JOUR
AU - Benítez, José Manuel
AU - Blanco, Armando
AU - Delgado, Miguel
AU - Requena, Ignacio
TI - Neural methods for obtaining fuzzy rules.
JO - Mathware and Soft Computing
PY - 1996
VL - 3
IS - 3
SP - 371
EP - 382
AB - 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 that the previous results have been completed, we present another procedure for obtaining fuzzy rules, also based on Neural Networks with Backpropagation, with no need to establish beforehand the labels or values of the variables that govern the system.
LA - eng
KW - Aprendizaje; Lógica difusa; Redes neuronales; artificial neural networks; learning; fuzzy rules; semantics of classification processes
UR - http://eudml.org/doc/39089
ER -