关键词: 网络流量预测, 高斯变异, 支持向量机, 布谷鸟搜索算法

Abstract: There are some problems, such as low precision, on existing network traffic forecast model. In accordance with these problems, this paper proposes the network traffic forecast model of Support Vector Machine（SVM）optimized by improved  Cuckoo Search algorithm（GCS）. It will transform the time series of the network traffic, and then use cuckoo search optimization algorithm to optimize the parameters of Support Vector Machine. The optimum parameters can be used to establish the model of network traffic prediction, which would make the forecast more accurate. The simulation shows that, the GCS-SVM model is a suitable and effective method for forecasting Internet traffic.

Key words: network traffic prediction, Gauss mutation, Support Vector Machine（SVM）, cuckoo search algorithm