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

Abstract: 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. [Copyright &y& Elsevier]