DocumentCode :
519595
Title :
The design of network fault diagnosis system based on PNN
Author :
Gao, Yutong ; Zhou, Xin
Author_Institution :
Sch. of Inf. Eng., Shenyang Univ., Shenyang, China
Volume :
1
fYear :
2010
fDate :
21-24 May 2010
Abstract :
In the process of computer network fault diagnosis, the fault´s characteristic data has a complicated nonlinear relationship with the faults´ reason. It´s usually adopting BP neural network to diagnose the network fault. This article firstly studies the PNN neural network, and then researches the characteristic parameters of the computer network. At last, the method of network fault diagnosis based on PNN is put forward. Experimental result indicates that PNN can well diagnose the faults of computer network, and has a better performance than many other neural networks.
Keywords :
backpropagation; computer network reliability; fault diagnosis; neural nets; BP neural network; PNN neural network; backpropagation; computer network fault diagnosis; probabilistic neural network; Artificial intelligence; Artificial neural networks; Computer network management; Computer networks; Data engineering; Design engineering; Fault diagnosis; Intelligent networks; Neural networks; Transfer functions; PNN; network fault diagnosis; performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
Type :
conf
DOI :
10.1109/ICFCC.2010.5497339
Filename :
5497339
Link To Document :
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