Fuzzy neural network approach to fuzzy polynomials.
Mathware and Soft Computing (2006)
- Volume: 13, Issue: 2, page 127-134
- ISSN: 1134-5632
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topAbbasbandy, Saeid, and Otadi, M.. "Fuzzy neural network approach to fuzzy polynomials.." Mathware and Soft Computing 13.2 (2006): 127-134. <http://eudml.org/doc/41876>.
@article{Abbasbandy2006,
abstract = {In this paper, an architecture of fuzzy neural networks is proposed to find a real root of a dual fuzzy polynomial (if exists) by introducing a learning algorithm. We proposed a learning algorithm from the cost function for adjusting of crisp weights. According to fuzzy arithmetic, dual fuzzy polynomials can not be replaced by a fuzzy polynomials, directly. Finally, we illustrate our approach by numerical examples.},
author = {Abbasbandy, Saeid, Otadi, M.},
journal = {Mathware and Soft Computing},
keywords = {Lógica difusa; Ceros de polinomios; Redes neuronales; Algoritmos de aprendizaje; learning algorithm; crisp weights},
language = {eng},
number = {2},
pages = {127-134},
title = {Fuzzy neural network approach to fuzzy polynomials.},
url = {http://eudml.org/doc/41876},
volume = {13},
year = {2006},
}
TY - JOUR
AU - Abbasbandy, Saeid
AU - Otadi, M.
TI - Fuzzy neural network approach to fuzzy polynomials.
JO - Mathware and Soft Computing
PY - 2006
VL - 13
IS - 2
SP - 127
EP - 134
AB - In this paper, an architecture of fuzzy neural networks is proposed to find a real root of a dual fuzzy polynomial (if exists) by introducing a learning algorithm. We proposed a learning algorithm from the cost function for adjusting of crisp weights. According to fuzzy arithmetic, dual fuzzy polynomials can not be replaced by a fuzzy polynomials, directly. Finally, we illustrate our approach by numerical examples.
LA - eng
KW - Lógica difusa; Ceros de polinomios; Redes neuronales; Algoritmos de aprendizaje; learning algorithm; crisp weights
UR - http://eudml.org/doc/41876
ER -
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