基于RBF算法的机房网络流量预测

摘要：为保证网络通信的正常运行，采用RBF算法预测网络流量的可靠性。以黑龙江科技学院计算机基础实验室网络流量数据为例，根据其在时序上的复杂非线性特征，利用自相关分析技术分析时间序列的延迟特性，确定RBF神经网络的输入／输出向量，建立了基于Matlab6．5环境下的RBF神经网络客运量预测模型。验证结果表明，该模型拟合精度和预测精度较高，计算速度较快。

Network Flow Prediction Based on RBF Algorithm

The reliability of network flow by using RBF algorithm is forecasted in order to ensure the safe operation of network communication.Basing on network traffic data in Heilongjiang School of Science and Technology basic laboratory,according to the complex nonlinear characteristic of a radial basis function(RBF) neural network on the time sequence,and using autocorrelation technology to analyze the delay of time series,which determines the input and output vector of RBF neural network and establishes the passe...