RETRACTED: Research on System Identification Based on an Adaptive Fuzzy Pi-Sigma Neural Network (Retracted Article)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.
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页数：6
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