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

被引：56

作者：

Bai, YP ^{[1
]}

Jin, Z ^{[1
]}

机构：

[1] N Univ China, Dept Appl Math, TaiYuan 030051, Shanxi, Peoples R China

来源：

CHAOS SOLITONS & FRACTALS | 2005年 / 26卷 / 02期

关键词：

D O I：

10.1016/j.chaos.2005.01.064

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

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.

引用

页码：559 / 569

页数：11