Volume 5 Number 11 (Nov. 2010)
Home > Archive > 2010 > Volume 5 Number 11 (Nov. 2010) >
JCP 2010 Vol.5(11): 1747-1754 ISSN: 1796-203X
doi: 10.4304/jcp.5.11.1747-1754

Analog Circuit Fault Diagnosis Based on Distributed Neural Network

Long Wang1, 2, Yanheng Liu1, Xiaogang Li2, Jian Guan1, and Qi Song2
1 College of Computer Science and Technology, Jilin University, Changchun, 130012, China
2 College of Information, Liaoning University, Shenyang, 110036, China


Abstract—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.

Index Terms—analog circuit, fault diagnosis, distributed neural network, Hebb rule

[PDF]

Cite: Long Wang, Yanheng Liu, Xiaogang Li, Jian Guan, and Qi Song, " Analog Circuit Fault Diagnosis Based on Distributed Neural Network," Journal of Computers vol. 5, no. 11, pp. 1747-1754, 2010.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
  • Nov 14, 2019 News!

    Vol 14, No 11 has been published with online version   [Click]

  • Sep 16, 2019 News!

    Vol 14, No 9 has been published with online version   [Click]

  • Aug 16, 2019 News!

    Vol 14, No 8 has been published with online version   [Click]

  • Jul 19, 2019 News!

    Vol 14, No 7 has been published with online version   [Click]

  • Jun 21, 2019 News!

    Vol 14, No 6 has been published with online version   [Click]

  • Read more>>