摘要
针对基于传统BP算法的前向神经网络预测网络流量方法的不足,构建了一种二级的网络流量预测-校正模型。该模型具有较高的预测效率和峰值预测精度,在实际网络流量的预测中取得了良好的效果。
For the shortages of the method in which network flux is predicted by forward neural network based on traditional BP algorithm,a 2-level network flux predict-adjust model is constructed.The model has higher prediction efficiency and peak prediction accuracy,and it has obtained good effect in the actual network flux prediction.
出处
《计算机时代》
2009年第11期18-20,共3页
Computer Era
关键词
网络流量预测
算法
峰值预测
预测-校正模型
network flux prediction
BP algorithm
peak prediction
predict-adjust model
