人工神经网络在传染病疫情分析与预测中的应用  

Application of Back Propagation Artificial Neural Network in Forecasting of Infectious Diseases

作　　者：侯瑞生 陈文玲 赵盛 薛云红 张蕾 李丽 王凯娟[2] 

机构地区：[1]河南国际旅行卫生保健中心,郑州450003 [2]郑州大学公共卫生学院,郑州450001

出　　处：《旅行医学科学》2008年第2期31-33,共3页

摘　　要：传染病流行传播与环境因素的相关关系是极其复杂的非线性关系,它们之间很难用精确的数学方程式来表示,而神经网络在解决非线性问题时具有很强的优越性。本文介绍了人工神经网络(ANN)中的BP神经网络在传染病流行与传播预测方面的应用,为人工神经网络在传染病预测方面的应用提供了一定的借鉴意义。Correlativity between prevalence and transmission of infectious diseases and environmental factors is extremely complex nonlinear, which is difficult to be precisely expressed by mathematical formula. But neural network has strong advantages in solving nonlinear problems. This paper introduced application of BP neural network in the artificial neural network （ANN） in prevalence and transmission forecast of infectious diseases, and provided certain reference for application of artificial neural network in forecast of infectious diseases.

关 键 词：人工神经网络 B-P算法 传染病疫情 预测 

分 类 号：R195.4[医药卫生—卫生统计学]