Self-Adaptive Modeling Method Based on T-S Fuzzy RBF NN and Its Application

摘要：

For the complex nonlinear systems, a self-adaptive modeling method based on T-S fuzzy RBF NN is introduced in this paper, in which online fuzzy clustering and improved PSO algorithms are used to implement the structure identification and parameter identification of the network. After theory analysis, the corresponding computer simulation was done to confirm the effectiveness and superiority of the method mentioned in this paper, and to provide a reference for practical application of this method.

关键词： T-S fuzzy model RBF NN online fuzzy clustering improved PSO algorithm gradient descent algorithm

作者: Lina Li Yang Yang

作者单位: College of PhysicsLiaoNing UniversityShenyang, China College of Physics LiaoNing University Shenyang, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）