Title :
Lifetime prediction of communication wire based on neural network
Author :
Junhuan Zhou ; Jingling Yuan ; Haizheng Tao ; Hui Huang ; Wu Qiu
Author_Institution :
Wuhan Univ. of Technol., Wuhan, China
Abstract :
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.
Keywords :
ageing; backpropagation; life testing; radial basis function networks; telecommunication cables; telecommunication network reliability; wires (electric); BP neural network; RBF neural network; communication wire aging problem; communication wire lifetime prediction; huge loss reduction; neural network methods; Computer architecture; Neural networks; Communication Wire; Lifetime Prediction; Neural Network;
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
DOI :
10.1109/ICCSE.2013.6554012