基于AR模型的话务自学习研究与应用

本文通过对AR模型的研究，提出了一种基于AR模型的话务自学习模型。通过对话务数据进行平稳化差分处理，得到话务数据的模型，并对未来的话务数据进行预测。仿真结果表明，建立的话务自学习的AR模型和实际的话务数据有很高的一致性，且仿真速度快，适合在实际的工作中应用。

The research and application of communication traffic self-learning based on AR model

Based on the analysis of AR model,a communication traffic self-learning model is provided.Through the differential treatment of the communication traffic data,a self-learning model is obtained.Using this model,future traffic can be forecast.Simulation results indicate that the communication traffic self-learning based on AR model has high consistency with real traffic data.Moreover,the computational complexity of our algorithm is acceptable for real work.