Neural net approximations to solutions of systems of fuzzy linear equations

被引：0
|
作者：
Buckley, JJ
Hayashi, Y
机构：
来源：
1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4 | 1997年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper continues our research ([1]-[4],[6],[11]) into using neural nets to solve fuzzy problems. We will show how to train neural nets, with certain sign constraints on their weights, using genetic algorithms, to approximate solutions to systems of fuzzy linear equations. This paper presents a new application of layed, feedforward, neural nets with sign restrictions on their weights.
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页码：2355 / 2358
页数：4
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