Evaluation of fully fuzzy regression models by fuzzy neural network

被引：0
作者：
M. Mosleh
T. Allahviranloo
M. Otadi
机构：
[1] Islamic Azad University,Department of Mathematics, Firoozkooh Branch
[2] Islamic Azad University,Department of Mathematics, Science and Research Brench
来源：
Neural Computing and Applications | 2012年 / 21卷
关键词：
Fuzzy neural networks; Fuzzy number; Learning algorithm; Fuzzy regression;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a novel hybrid method based on fuzzy neural network for approximate fuzzy coefficients (parameters) of fuzzy linear and nonlinear regression models with fuzzy output and fuzzy inputs, is presented. Here, a neural network is considered as a part of a large field called neural computing or soft computing. Moreover, in order to find the approximate parameters, a simple algorithm from the cost function of the fuzzy neural network is proposed. Finally, we illustrate our approach by some numerical examples.
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页码：105 / 112
页数：7
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