%0 Journal Article
%T Predictive Model of BP Artificial Neural Network for HFRS Incidence Based on Hyperbolic Tangent Function<br>基于双曲正切函数HFRS发病率的BP神经网络预测模型
%A DING Shou-luan
%A WANG Jie-zhen
%A CUI Xi-you
%A <br>丁守銮
%A 王洁贞
%A 崔希友
%J 系统工程理论与实践
%D 2003
%I 
%X This paper used three layer BP neural network based on Hyperbolic Tangent function as activation function with the number of hidden node six. Presented three nonlinear time series predictive model of BP artificial network for HFRS incidence and prepared them. ANN predictive model III is best, simpler, more effective with high prediction precision. This method can be applied to forecast for disease incidence or mortality.
%K BP artificial neural network
%K nonlinear time series
%K activation function
%K disease incidence<br>BP人工神经网络
%K 功能函数
%K 发病率
%K 非线性时间序列
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=F1A10D03F5E24BE1&yid=D43C4A19B2EE3C0A&vid=EA389574707BDED3&iid=DF92D298D3FF1E6E&sid=6FBD78E3BAB60869&eid=6DE26652A1045643&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=1&reference_num=12