Fuzzy Neural Network Structure of Linguistic Dynamic Systems Based on Nonlinear Particle Swarm Optimization

摘要：

Linguistic dynamic systems(LDS)are dynamicprocesses involving computing with words instead ofnumbers for modeling and analysis of complex systems.In this paper,a fuzzy neural network(FNN)structureof LDS base on nonlinear particle swarm optimizationwas proposed.Finally,experiment results on logisticsformulation demonstrated the feasibility and theefficiency of the proposed FNN model.

关键词： Linguistic dynamic systems Computingwith words Fuzzy neural network Particle swarm optimization

作者: Guo-Rong Cai Shui-Li Chen Wen-Zhong Guo

作者单位: School of Science,Jimei University,Xiamen,China,361021 College of Mathematics and Computer Science,Fuzhou University,Fuzhou,China,350002

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 886-891

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）