Lifetime prediction of communication wire based on neural network

In order to reduce the huge loss caused by the aging problem of communication wire and keep the quality in a high level,this paper uses RBF neural network and BP neural network to predict the lifetime of communication wire.For illustration, an example is utilized to show the accuracy of two neural n...

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Bibliographic Details
Published in2013 8th International Conference on Computer Science & Education pp. 769 - 772
Main Authors Junhuan Zhou, Jingling Yuan, Haizheng Tao, Hui Huang, Wu Qiu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2013
Subjects
Communication Wire
Computer architecture
Lifetime Prediction
Neural Network
Neural networks
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Summary:In order to reduce the huge loss caused by the aging problem of communication wire and keep the quality in a high level,this paper uses RBF neural network and BP neural network to predict the lifetime of communication wire.For illustration, an example is utilized to show the accuracy of two neural network methods in the lifetime prediction of communication wire.Empirical results shows that RBF neural network method is more feasible for analyzing the relationship between the lifetime of communication wire and the factors than BP neural network method,and can predict the lifetime more accurately.
ISBN:1467344648
9781467344647
DOI:10.1109/ICCSE.2013.6554012