Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (22): 80-82.DOI: 10.3778/j.issn.1002-8331.2010.22.025
• 网络、通信、安全 • Previous Articles Next Articles
WANG Li
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王 丽
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Abstract: An improved PSO algorithm is used to carry on the optimization to the BP neural network weight.This paper takes the LAN/WLAN integration network as background,LAN/WLAN integration network reliability prediction models are established with three methods(BP neural network, BP neural network based on modified PSO,SVM).Compared with the experimental,the validity and superiority of modified PSO-based neural network prediction model have proven.
摘要: 首先利用一种改进后的粒子群算法对BP神经网络权值的选取进行优化,然后以LAN/WLAN集成网络为背景,用三种方法(BP神经网络、改进PSO算法优化后的BP神经网络、SVM)建立了LAN/WLAN集成网络可靠性的预测模型,最后通过实验比较,证明了改进后的神经网络模型预测通信网的可靠性、有效性和优越性。
CLC Number:
TP301.6
WANG Li. Improved neural network model to predict network reliability[J]. Computer Engineering and Applications, 2010, 46(22): 80-82.
王 丽. 改进神经网络模型对通信网可靠性的预测[J]. 计算机工程与应用, 2010, 46(22): 80-82.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2010.22.025
http://cea.ceaj.org/EN/Y2010/V46/I22/80