An adaptive self-organizing fuzzy neural network

被引：0
|
作者：
Qiao, Jun-Fei [1 ]
Han, Hong-Gui [1 ]
Jia, Yan-Mei [1 ]
机构：
[1] Beijing Univ Technol, Coll Elect & Control Engn, Beijing 100022, Peoples R China
来源：
2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS | 2007年
关键词：
fuzzy ratiocinative rules; adaptive self-organizing algorithm; fuzzy neural network; wastewater treatment;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper shows a new method of fuzzy network which can change the structure by the systems. This method is based on the self-organizing mapping (SOM), but this algorithm resolves the problem of the SOM which can't change the number of the network nodes. This new algorithm can change the number of fuzzy rules, so it takes the experienced rules out of the necessary, side for the number of the fuzzy rides. We use this new algorithm to control the dissolved oxygenic in the wastewater treatment processes. This algorithm can adjust subjection function on-line, optimize control rules. The results of simulations Shou; that the controller can take the dissolved oxygenic to achieve the presumed request, and prove the superiority of this algorithm in real time control.
引用
收藏
页码：711 / 715
页数：5
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