| 肾综合征出血热发病率的ANN预测模型 |
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| 引用本文： | 丁守銮,王洁贞,袁晓红. 肾综合征出血热发病率的ANN预测模型[J]. 山东大学学报(医学版), 2002, 40(2): 100-102 |
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| 作者姓名： | 丁守銮 王洁贞 袁晓红 |
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| 作者单位： | 1. 山东大学,公共卫生学院
2. 山东大学,图书馆医学分馆 |
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| 基金项目： | 山东省自然科学基金资助课题 (Y2 0 0 0C19) |
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| 摘 要： | 目的 :探讨ANN时间序列预测模型在疾病发病率或死亡率预测上的应用前景。方法 :利用动态学习比率BP算法以双曲正切函数为功能函数的非线性时间序列预测方法。结果 :建立HFRS发病率的ANN预测模型 ,其预测精度高。结论 :BP人工神经网络可以用于疾病发病率或死亡率的预测
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| 关 键 词： | BP人工神经网络 非线性时间序列 动态学习 发病率 |
| 文章编号： | 1671-7554(2002)02-0100-03 |
Predictive model of BP artificial neural network for HFRS incidence |
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| DING Shou luan,WANG Jie zhen,YUAN xiao hong. Predictive model of BP artificial neural network for HFRS incidence[J]. Journal of Shandong University:Health Sciences, 2002, 40(2): 100-102 |
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| Authors: | DING Shou luan WANG Jie zhen YUAN xiao hong |
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| Abstract: | Objective: To explore the prospect of predicting disease incidence of the predictive model of nonlinear time series by BP neural network. Method: Based on dynamic error correction BP artificial neural network with Hyperbolic Tangent function as activation function and the number of hidden node six. Result: ANN forecast model of HFRS incidence was built with high prediction precision. Conclusion: BP artificial neural network can be used to forecast for disease incidence or mortality. |
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| Keywords: | BP artificial neural network Nonlinear time series Dynamic error learning Disease incidence |
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