人工神经网络在SARS疫情分析与预测中的应用  

SARA Epidemic Situation Study Using Artificial Neural Networks Models

作　　者：白艳萍[1] 靳祯[1] 

机构地区：[1]华北工学院应用数学系,山西省太原030051

出　　处：《数学的实践与认识》2004年第5期101-107,共7页Mathematics in Practice and Theory

摘　　要：讨论人工神经网络在 SARS疫情分析与预测中的应用 .采用三层结构的反向传播网络 ( Backpropagation network,简称 BP网络 ) ,对 SARS在中国的传播与流行趋势及控制策略建立了网络模型 .并利用实际数据拟合参数 ,针对北京、山西的疫情进行了计算仿真 .结果表明 ,该网络模型算法收敛速度较快 。Analysis and forecast of SARS epidemic situation by using artificial neural networks was reported in this paper. We study some application of neural networks in SARS spread and epidemic situation. We turn the multi layer back propagation network model in SARS epidemic situation. By simulating at computer, we acquire the forecast curve of the epidemic about Shanxi and Beijing. The result of forecast curve show that the algorithm is rapid and the result is precision.

关 键 词：人工神经网络 SARS疫情 B-P算法 数学建模 网络模型 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]