Numerical solution of fuzzy polynomials by fuzzy neural network

被引：51
|
作者：
Abbasbandy, S. [1 ]
Otadi, M.
机构：
[1] Imam Khomeini Int Univ, Fac Sci, Dept Math, Ghazvin 34194288, Iran
[2] Islamic Azad Univ, Dept Math, Sci & Res Branch, St Bonaventure, NY 14778 USA
[3] Imam Khomeini Int Univ, Dept Math, Fac Sci, Ghazvin 34194288, Iran
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2006年 / 181卷 / 02期
关键词：
fuzzy neural networks; fuzzy polynomials;
D O I：
10.1016/j.amc.2006.01.073
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, an architecture of fuzzy neural networks is proposed to find a real root of fuzzy polynomials (if exists) by introducing a learning algorithm. We proposed a learning algorithm from the cost function for adjusting of crisp weights. Finally, we illustrated our approach by numerical examples. (c) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码：1084 / 1089
页数：6
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