Fuzzy Cognitive Maps Learning Based on Genetic Algorithm

摘要：

Fuzzy Cognitive Maps is a combination of fuzzy Logic and neural network,and it has got extensive applications in many fields.In this paper a new technique based on Genetic Algorithm for Fuzzy Cognitive Maps learning is introduced.The proposed approach is used for the detection of proper weight matrices that lead the Fuzzy Cognitive Map to desired steady states.For this purpose a properly defined objective function is constructed and minimized. The application of the proposed methodology to an industrial control problem supports the claim that the proposed technique is efficient and robust.

关键词： fuzzy cognitive maps GA algorithm weight matrices objective function

作者: Lifeng Yu Jie Zhang Jing Zhao

作者单位: School of International Education,Jiangnan University,Wuxi,Jiangsu,P.R.China Center of Modern Education Technology,Shandong Institute of Light Industry,Jinan,Shandong,P.R.China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 672-676

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）