NDLI: An adaptive self-organizing fuzzy neural network

Content Provider	IEEE Xplore Digital Library
Author	Jun-Fei Qiao Hong-Gui Han Yan-Mei Jia
Copyright Year	2007
Description	Author affiliation: Beijing Univ. of Technol., Beijing (Jun-Fei Qiao; Hong-Gui Han; Yan-Mei Jia)
Abstract	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 rules. 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 show that the controller can take the dissolved oxygenic to achieve the presumed request, and prove the superiority of this algorithm in real time control.
Starting Page	711
Ending Page	715
File Size	382281
Page Count	5
File Format	PDF
ISBN	9781424410651
DOI	10.1109/ICWAPR.2007.4420761
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	adaptive self-organizing algorithm wastewater treatment Wavelet analysis fuzzy ratiocinative rules Pattern recognition Wastewater treatment Fuzzy control fuzzy neural network Neural networks Clustering algorithms Fuzzy neural networks Pattern analysis Fuzzy systems
Content Type	Text
Resource Type	Article

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