THE SELF-ADAPTIVE FUZZY NEURAL NETWORK BASED ON EVOLUTIONARY PROGRAMMING

摘要：

In this paper, a approach for automatically generating fuzzy rules from sample patterns is presented.Firstly, with Cauchy mute operator and Gaussian mute operator, we propose a new evolutionary programming(EP) based on self-adaptive EP.Secondly, a self-adaptive fuzzy neural network is built based on the new evolutionary programming.In this method, structure identification and parameters estimation are performed automatically and simultaneously.The simulation results show that the proposed method in this paper can produce the compact and high performance fuzzy rule-base in comparison with other algorithms.

关键词： Evolutionary programming Fuzzy neural network

作者: FANG LIU

作者单位: School of Electronic Information & Control Engineering, Beijing university of technology, beijing 100022, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1200-1203

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）