Analog Circuit Fault Diagnosis Based on Distributed Neural Network

被引：6

作者：

Wang, Long ^{[1
]}

Liu, Yanheng ^{[1
]}

Li, Xiaoguang ^{[2
]}

Guan, Jian ^{[1
]}

Song, Qi ^{[2
]}

机构：

[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China

[2] Liaoning Univ, Coll Informat, Shenyang 110036, Liaoning, Peoples R China

来源：

JOURNAL OF COMPUTERS | 2010年 / 5卷 / 11期

基金：

中国国家自然科学基金;

关键词：

analog circuit; fault diagnosis; distributed neural network; Hebb rule;

D O I：

10.4304/jcp.5.11.1747-1754

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In order to solve the problems caused by large dataset, such as the network scale and the training time, a new method of analog circuit fault diagnosis based on distributed neural network is presented in this paper. The model of distributed neural network is simply introduced. The arithmetic mechanism is depicted in detail and the arithmetic description is given. Simulation results show that this method can improve learning speed and carry out fault diagnosis of analog circuit accurately.

引用

页码：1747 / 1754

页数：8

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