基于AR模型的话务自学习研究与应用  

The Research and Application of Communication Traffic Self-learning Based on AR Model

作　　者：朱明英[1] 胡欣欣[1] 朱海云[1] 邢豫[1] 

机构地区：[1]中国电信股份有限公司广东研究院,广州510630

出　　处：《科学技术与工程》2012年第7期1648-1651,共4页Science Technology and Engineering

摘　　要：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。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.

关 键 词：话务自学习 AR模型 话务预测 

分 类 号：TN916.1[电子电信—通信与信息系统]