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