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作者:

Fan, Qingwu (Fan, Qingwu.) | Wang, Pu (Wang, Pu.) | Zhang, Lianbao (Zhang, Lianbao.) | Li, Jun (Li, Jun.)

收录:

CPCI-S

摘要:

Traditional method about designing blue print in course of surface laser quenching was studied. Expert system of laser quenching based on genetic-neural network was presented. Knowledge acquisition, construction of knowledge base and design of inference engine were introduced in detail. The trial running results show that this research raised an advanced and reasonable path for performance prediction and optimization design of laser quenching.

关键词:

expert system genetic algorithms laser quenching neural network

作者机构:

  • [ 1 ] [Fan, Qingwu]Beijing Univ Technol, Coll Elect Control, Beijing, Peoples R China
  • [ 2 ] [Wang, Pu]Beijing Univ Technol, Coll Elect Control, Beijing, Peoples R China
  • [ 3 ] [Zhang, Lianbao]Beijing Univ Technol, Coll Mat Sci & Engn, Beijing, Peoples R China
  • [ 4 ] [Li, Jun]Beijing Univ Technol, Coll Mat Sci & Engn, Beijing, Peoples R China

通讯作者信息:

  • [Fan, Qingwu]Beijing Univ Technol, Coll Elect Control, Beijing, Peoples R China

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来源 :

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS

年份: 2006

页码: 7969-,

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

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