Wireless communication reliability prediction based on Support Vector Regression

Pan Qun, Wang Lin, Zhuang Yan-bin
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引用次数: 1

Abstract

The Support Vector Regression method have complete statistical learning theory basis and excellent performance on small samples. Based on the introduction of support vector regression method, the paper introduced Support Vector Machine (SVM) into wireless communication network reliability prediction. Using support vector regression method, the reliability prediction model of wireless communication network was established. Verification of actual data and comparison with BP neural network method shows that the model has feasibility and superiority in the reliability prediction of wireless communication network.
基于支持向量回归的无线通信可靠性预测
支持向量回归方法具有完备的统计学习理论基础和良好的小样本性能。在引入支持向量回归方法的基础上,将支持向量机(SVM)引入到无线通信网络可靠性预测中。采用支持向量回归方法,建立了无线通信网络可靠性预测模型。实际数据的验证以及与BP神经网络方法的比较表明,该模型在无线通信网络可靠性预测中具有可行性和优越性。
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