@inproceedings{257687f66fc846ea8facd9d0eb5c683c,
title = "Digital system fault diagnosis based on BP neural network",
abstract = "In this paper, a fault diagnosis strategy of digital system based on BP neural network is presented. After training the neural network can be used to diagnose faults of digital system. Considering tradition BP algorithm of neural network may make weights run into local minimum. A modified algorithm are developed using BP algorithm and applying Metropolis criterion. Finally, this fault diagnosis system has been used in a digital system, the simulation setup is fabricated and tested, and the test results are compared with simulation results. Using this algorithm the approximation error of neural network is very small, and it is an effective approach and efficient in learning. In a conclusion, BP neural network is a good way to complex digital system fault diagnosis.",
keywords = "BP neural network, Digital system, Fault code, Fault diagnosis, Metropolis criterion",
author = "Qichuan Tian and Quan Pan and Diguang Gao and Rucheng Han and Quanxue Gao",
year = "2002",
language = "英语",
isbn = "7560317685",
series = "Proceedings of the Second International Symposium on Instrumentation Science and Technology",
pages = "1/697--1/701",
editor = "T. Jiubin and W. Xianfang and T. Jiubin and W. Xianfang",
booktitle = "Proceedings of the Second International Symposium on Instrumentation Science and Technology",
note = "Proceedings of the second International Symposium on Instrumentation Science and Technology ; Conference date: 18-08-2002 Through 22-08-2002",
}