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