A novel fuzzy cognitive maps learning algorithm

被引：0
|
作者：
Zhao Jing [1 ]
Xu Wenbo [1 ]
Jun, Sun [1 ]
Li Ming [1 ]
机构：
[1] So Yangtze Univ, Sch Informat Technol, Jiangsu 214122, Peoples R China
来源：
DCABES 2006 PROCEEDINGS, VOLS 1 AND 2 | 2006年
关键词：
PSO algorithm; QPSO algorithm; fuzzy cognitive maps; weight matrices; objective function;
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：
A technique for Fuzzy Cognitive Maps learning, which is based on the Quantum-behaved Particle Swarm Optimization algorithm, is introduced. The proposed approach is used for updating the nonzero weight values that lead the Fuzzy Cognitive Map to desired steady states. The workings of the approach are applied to an industrial control problem. The results support the claim that the proposed technique is a promising methodology for Fuzzy Cognitive Maps learning, and the methodology is effective and efficient.
引用
收藏
页码：735 / 738
页数：4
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