BP神经网络在肾综合征出血热发病率预测中的应用

BP neural network in the incidence forecasting of hemorrhagic fever with renal syndrome

目的探讨BP(back propagation)神经网络预测模型在肾综合征出血热(hemorrhagic fever with renal syndrome,HFRS)发病率预测方面的应用效果。方法应用人工神经网络技术建立关于疾病发病率的预测模型。结果建立了拓扑结构为2-10-1的BP神经网络模型,并对预测效果进行了验证。结论 BP神经网络预测模型可用于HFRS发病率的预测,且具有较好的预测效果。

Objective To study the application effect of BP（ back propagation） neural network predictive model in the incidence forecasting of hemorrhagic fever with renal syndrome. Methods The technique of artificial neural network was used to build on the predictive model of incidence of disease. Results The BP nerve network model with topological structure of 2-10-1 was established, and the results of prediction were verified. Conclusions BP neural network prediction model can be used to predict the incidence of hemorrhagic fever with renal syndrome.