DocumentCode :
3542041
Title :
Research of Identification and Positioning System for Network Failure Based on BP Neural Network
Author :
Han-Yong Zhong ; Peng Ping ; Mo-Xiao Yun
Author_Institution :
Coll. of Comput. Sci., Guangdong Polytech. Normal Univ., Guangzhou, China
fYear :
2012
fDate :
21-23 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, a identification and positioning method for network failure with hierarchical structure based on BP neural network is proposed, In the situation of early warning mechanism of perfect network, BP neural network is trained, and then it form a hierarchical structure. This paper finally put forward an application example of this method to show that this network fault identification is effective and it can quickly and accurately identify and locate fault.
Keywords :
backpropagation; neural nets; telecommunication computing; telecommunication network reliability; BP neural network; early warning mechanism; hierarchical structure; identification system; network failure; network fault identification; positioning system; Analytical models; Classification algorithms; Cognition; Eigenvalues and eigenfunctions; Fault diagnosis; Neural networks; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-9646
Print_ISBN :
978-1-61284-684-2
Type :
conf
DOI :
10.1109/WiCOM.2012.6478644
Filename :
6478644
Link To Document :
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