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Author:

Qiao, Jun-Fei (Qiao, Jun-Fei.) (Scholars:乔俊飞) | Han, Hong-Gui (Han, Hong-Gui.) (Scholars:韩红桂) | Jia, Yan-Mei (Jia, Yan-Mei.)

Indexed by:

CPCI-S

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 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.

Keyword:

fuzzy neural network fuzzy ratiocinative rules adaptive self-organizing algorithm wastewater treatment

Author Community:

  • [ 1 ] [Qiao, Jun-Fei]Beijing Univ Technol, Coll Elect & Control Engn, Beijing 100022, Peoples R China
  • [ 2 ] [Han, Hong-Gui]Beijing Univ Technol, Coll Elect & Control Engn, Beijing 100022, Peoples R China
  • [ 3 ] [Jia, Yan-Mei]Beijing Univ Technol, Coll Elect & Control Engn, Beijing 100022, Peoples R China

Reprint Author's Address:

  • 乔俊飞

    [Qiao, Jun-Fei]Beijing Univ Technol, Coll Elect & Control Engn, Beijing 100022, Peoples R China

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Source :

2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS

Year: 2007

Page: 711-715

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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