成都大学学报：自然科学版2012，Vol.31Issue(2)：154-157,4.
基于SVD_TLS及EKF算法的动态自组织模糊神经网络
Application of Dynamic Self-organizing Fuzzy Neural Network in Dynamic System Based on SVD ILS and EKF Algorithm
摘要
Abstract
A dynamic self-organizing fuzzy neural network was proposed with the combination of SVD_ TLS and EKF. Firstly, the structure and meanings of each layer were given. Secondly, important fuzzy rules were extracted when using EKF algorithm and SVD _ TLS algorithm to learn nonlinear and linear parameters respectively. Finally, the STE _ DSFNN was verified through the typical Machey-Glass time series prediction examples, which was compared with the DFNN, ANFIS and UKF _ DFNN at the same time. The results show that the STE_ DSFNN network structure is more compact and has better generalization ability.关键词
奇异值分解_总体最小二乘法（SVD_TLS）/扩展卡尔曼滤波（EKF）/Machey-Glass时间序列预测Key words
SVD_ TLS algorithm/EKF algorithm/Machey-Glass time series prediction分类
计算机与自动化引用本文复制引用
李云..基于SVD_TLS及EKF算法的动态自组织模糊神经网络[J].成都大学学报：自然科学版,2012,31(2):154-157,4.
