Prediction of SARS epidemic by BP neural networks with online prediction strategy

摘要

The method of predicting BP neural networks is used for SARS epidemic to improve the existing computational methods, and better accuracy of prediction is achieved. A suitable momentum term is added to BP algorithm to accelerate the convergence speed. An online prediction strategy is applied to monitor the training and predicting process. We have achieved a series of predicting results of SARS epidemic about Beijing and Shanxi in China. (c) 2005 Elsevier Ltd. All rights reserved.