吉林大学学报（信息科学版）2011，Vol.29Issue(2)：97-101,5.
基于神经网络的客服中心话务量预测模型
Neural Network Based Traffic Prediction Model of Customer Service Center
张一农 1刘伯龙 2王文婷1
作者信息
- 1. 吉林大学,通信工程学院,长春,130012
- 2. 南京邮电大学,通信与信息工程学院,南京,210046
- 折叠
摘要
Abstract
An intelligent prediction model based on neural network and event sample database is proposed to solve the changes of traffic trends and the model failure after the introduction of new technologies and new business and decrease of prediction accuracy. The method has self-learning function and continuing adaptive capacity on changes of traffic trends, events influence and the occurrence of new events, which can automatically adjust predictive parameters and update the event samples according to predictive error. Simulation results show that the method effectively improves the accuracy of traffic prediction, also has a high value for investment planning of the company's customer service center.关键词
话务量/神经网络/预测模型Key words
traffic/ neural network/ prediction model分类
信息技术与安全科学引用本文复制引用
张一农,刘伯龙,王文婷..基于神经网络的客服中心话务量预测模型[J].吉林大学学报（信息科学版）,2011,29(2):97-101,5.
