Nonlinear System Modeling Study Based on Fuzzy Neural Network with Chaotic Mechanism

摘要：

　　This paper for the shortcomings of conventional BP algorithm which has slow convergence and falls into local minimum easily,the nonlinear self-feedback term with chaotic mechanism is introduced into this algorithm.Thus chaotic BP algorithm (CBPA) is given.The weight of fuzzy neural network (FNN) is trained and learned by using it.Thus an introduction-type fuzzy chaotic neural network (IFCNN) is constituted.Then simulation of nonlinear system based on IFCNN given is proposed.Simulation results show that the designed IFCNN has the same and complex dynamic characteristics with chaotic system,which has good modeling capabilities for nonlinear system.

关键词： Nonlinear System Modeling Fuzzy Neural Network Chaotic BP Algorithm component

作者: Wen Li Yu Guo

作者单位: School of Civil Engineering & Architecture Northeast Petroleum University Daqing, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 460-464

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）