Abstract:Aiming at parameters optimization problem of support vector machine in network traffic predicting, a network traffic predicting model is proposed based on improved support vector machine. Parameters of support vector machine are considered as a weed, the optimal parameters are found by invasive weed optimization algorithm, and network traffic data is used to test the performance. The experimental results show that the proposed model obtains high predicting accuracy and fastens the model speed, and it can meet the requirements of network traffic predicting.