RETRACTED: Research on System Identification Based on an Adaptive Fuzzy Pi-Sigma Neural Network (Retracted Article)

被引：0

作者：

Gan, Xusheng ^{[1
]}

Cong, Wei ^{[1
]}

Niu, Pengcheng ^{[1
]}

Zong, Shuning ^{[1
]}

机构：

[1] XiJing Coll, Xian 710123, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL SCIENCE-ICEES 2011 | 2011年 / 11卷

关键词：

Fuzzy model; neural network; membership function; system identification;

D O I：

10.1016/j.egypro.2011.10.852

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

For many shortcomings of the traditional fuzzy identification model, an adaptive pi-sigma neural network system identification model based on Takagi-Sugeno fuzzy system is proposed. It can dynamically adjust the premise parameters and consequence parameters of system, so that the objective function error is controlled within a certain range, which makes the model more reasonable. The simulation results demonstrate the effectiveness of the method proposed. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Organizers of 2011 International Conference on Energy and Environmental Science.

引用

页数：6

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