A Novel Fuzzy Cognitive Map Approach to Differential Diagnosis of Specific Language Impairment

摘要：

A technology for Fuzzy Cognitive Maps learning,which is based on the Quantum-behaved Particle Swarm approach is introduced.The proposed approach is used for the nonzero weight values that lead Fuzzy Cognitive Maps to desired steady states.The working of the approaches are applied to the model for differential diagnosis of specific language impairment (SLI).The methodology is based on fuzzy cognitive maps with Quantum-behaved Particle Swarm algorithm.The development of the model was based on knowledge from the literature and then it was successfully tested on two clinical cases.The results obtained point to its final integration in the future and to its valid contribution as a differential diagnosis model of SLL.

关键词： PSO (Particle Swarm Optimization) QPSO (Quantum-Behaved Particle Swarm Optimization) fuzzy cognitive maps weight matrices object function

作者: Feng Bin Wang Zhang

作者单位: School of Information Technology Jiangnan University Wuxi,Jiangsu P.R China 214122

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: 728-734

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）