Reliability management and comprehensive evaluation method on telecommunication networks

Author

Kaisheng, Ding ; Liang Xionjian

Author_Institution

Manage. Eng. Dept., Beijing Univ. of Posts & Telecommun., China

fYear

1998

fDate

22-24 Oct 1998

Abstract

The reliability of telecommunication networks is one of the most important quality indicators. In this paper, based on the analysis of indicator system of telecommunication network reliability, a model is provided to evaluate the growth of telecommunication network reliability. In the evaluating model how to determine the weight of every reliability indicator is a key problem. We combine the principal component analysis method with a neural network method to determine the weight of every indicator. Finally, an example of application of the evaluation model in a local network is given

Keywords

backpropagation; feedforward neural nets; multilayer perceptrons; principal component analysis; recurrent neural nets; telecommunication computing; telecommunication network management; telecommunication network reliability; backpropagation algorithm; evaluation method; feedforward multilayer neural network; feedforward neural network; indicator system; local network; neural network method; principal component analysis; reliability indicator weight; reliability management; telecommunication network reliability; Artificial neural networks; Electronic mail; Engineering management; Equations; Neural networks; Principal component analysis; Quality management; Reliability engineering; Telecommunication network management; Telecommunication network reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology Proceedings, 1998. ICCT '98. 1998 International Conference on

Conference_Location

Beijing

Print_ISBN

7-80090-827-5

Type

conf

DOI

10.1109/ICCT.1998.741121

Filename

741121