RETRACTED: Network Reliability Prediction Based on Support Vector Machine (Retracted Article)

被引:0
|
作者
Ling, Zhao [1 ]
机构
[1] NE Petr Univ, Daqing 163318, Peoples R China
关键词
support vector machine; nonlinear regression; network reliability prediction; influencing factors;
D O I
10.1016/j.egypro.2011.10.330
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Network reliability prediction is significant to make up the strategy for network management. In order to solve the local optimum of BP neural network, support vector machine(SVM) is proposed to predict network reliability in the paper. In the study, Grid method is applied to select optimal parameters of support vector machine. Thus, network reliability prediction model by SVM has four input nodes and one output node. The experimental network reliability data are applied to study the superiority of support vector machine. The comparison of network reliability prediction error between support vector machine and BP neural network demonstrates that network reliability prediction ability of support vector machine is better than that of BP neural network. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Organizers of 2011 International Conference on Energy and Environmental Science.
引用
收藏
页数:6
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