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.

Key words: traffic, neural network, prediction model