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.
@article{urn:eudml:doc:41876,
title = {Fuzzy neural network approach to fuzzy polynomials.},
journal = {Mathware and Soft Computing},
volume = {13},
year = {2006},
pages = {127-134},
zbl = {1122.68093},
mrnumber = {MR2302685},
language = {en},
url = {http://dml.mathdoc.fr/item/urn:eudml:doc:41876}
}
Abbasbandy, Saeid; Otadi, M. Fuzzy neural network approach to fuzzy polynomials.. Mathware and Soft Computing, Tome 13 (2006) pp. 127-134. http://gdmltest.u-ga.fr/item/urn:eudml:doc:41876/