A Novel Fuzzy Cognitive Maps Learning Algorithm

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.

关键词： PSO algorithm QPSO algorithm fuzzy cognitive maps weight matrices objective function

作者: ZHAO JING XU WENBO SUN JUN LI MING

作者单位: School of Information Technology Southern Yangtze University Wuxi, Jiangsu P.R.China, 214122;Center School of Information Technology Southern Yangtze University Wuxi, Jiangsu P.R.China, 214122 Institute of Technology, Shandong University of Traditional Chinese Medicine Jinan, Shandong P.R.Chi

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 735-738

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）