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Author:

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

Indexed by:

CPCI-S

Abstract:

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.

Keyword:

expert system laser quenching neural network genetic algorithms

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

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

Year: 2006

Page: 7969-,

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: 9

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