复杂网络下的网络流量预测和预警研究

Computer and Modernization(2018)

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Abstract
针对复杂网络环境下传统的网络流量预测方法存在预测误差大和精度低的缺点,提出一种基于EMFOA_LSSVM的网络流量预测模型.通过EMD提取网络流量数据的趋势特征和细节特征,构建出预测模型的输入和输出矩阵,运用MFOA_LSSVM实现复杂网络环境下的网络流量预测.实验结果表明,与MFOA_LSSVM,FOA_LSSVM,PSO_LSSVM和LSSVM相比,EMFOA_LSSVM具有更高的预测精度和收敛速度,为网络流量预测和预警提供决策依据.
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