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作者:

Zuo, Lei (Zuo, Lei.) | Hou, Ligang (Hou, Ligang.) | Zhang, Wang (Zhang, Wang.) | Geng, Shuqin (Geng, Shuqin.) | Wu, Wucheng (Wu, Wucheng.)

收录:

CPCI-S

摘要:

In order to solve the problem of fault diagnosis method for analog IC diagnosis, the method based on Adaptive Neural-fuzzy Inference System (ANFIS) is proposed. Using subtractive clustering and Particle Swarm Optimization (PSO)-hybrid algorithm as a tool for building the fault diagnosis model, then, the model of fault diagnosis system was used to the circuit fault diagnosis. Simulation results have shown that the method is more effective.

关键词:

analog circuit ANFIS fault diagnosis hybrid algorithm PSO

作者机构:

  • [ 1 ] [Zuo, Lei]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 2 ] [Hou, Ligang]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Wang]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 4 ] [Geng, Shuqin]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China
  • [ 5 ] [Wu, Wucheng]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China

通讯作者信息:

  • [Zuo, Lei]Beijing Univ Technol, VLSI, Beijing 100124, Peoples R China

电子邮件地址:

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相关关键词:

来源 :

ADVANCES IN SWARM INTELLIGENCE, PT 2, PROCEEDINGS

ISSN: 0302-9743

年份: 2010

卷: 6146

页码: 51-,

语种: 英文

被引次数:

WoS核心集被引频次: 9

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 3

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