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作者:

Qiao, Junfei (Qiao, Junfei.) (学者:乔俊飞) | Han, Honggui (Han, Honggui.) (学者:韩红桂) | Jia, Yarimei (Jia, Yarimei.)

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CPCI-S

摘要:

This paper advances a new method of self-organizing network. This method resolves the problem of the SOM which can't change the number of the network, and the structure of the neural network can't be changed on-line. And this new method combines with the fuzzy arithmetic, then the fuzzy rules can be changed on-line, it takes the experience out of the necessary side for the number of the fuzzy rules. The results of the simulations prove the superiority of this arithmetic in the non-line systems approach.

关键词:

neural ratiocinative rules network non-line approach fuzzy self-organizing

作者机构:

  • [ 1 ] [Qiao, Junfei]Beijing Univ Technol, Coll Elect & Control Engn, Beijing, Peoples R China
  • [ 2 ] [Han, Honggui]Beijing Univ Technol, Coll Elect & Control Engn, Beijing, Peoples R China
  • [ 3 ] [Jia, Yarimei]Beijing Univ Technol, Coll Elect & Control Engn, Beijing, Peoples R China

通讯作者信息:

  • 乔俊飞

    [Qiao, Junfei]Beijing Univ Technol, Coll Elect & Control Engn, Beijing, Peoples R China

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来源 :

PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS

年份: 2007

页码: 241-243

语种: 英文

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