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

Yanping Bai and Zhen Jin

Chaos, Solitons & Fractals, 2005, vol. 26, issue 2, 559-569

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.

Date: 2005
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:26:y:2005:i:2:p:559-569

DOI: 10.1016/j.chaos.2005.01.064

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