| 高血压病发病率预报的人工神经网络方法研究 |
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| 引用本文： | 马玉霞,郑有飞,文秀萍,桑建人.高血压病发病率预报的人工神经网络方法研究[J].南京气象学院学报,2003,26(2):252-257. |
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| 作者姓名： | 马玉霞 郑有飞 文秀萍 桑建人 |
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| 作者单位： | 1. 南京气象学院,环境科学系,江苏,南京,210044
2. 宁夏回族自治区气象局,宁夏,银川,750002 |
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| 摘 要： | 通过统计分析，选取影响银川地区高血压病发病率的主要气象因素，将其作为输入变量经多层前馈型神经网络的BP(Back Propagation)算法进行学习训练，建立了疾病发病率的人工神经网络(ANN，Artifical Neural Net)预报模型。结果表明：该方法计算简便、误差较小，为疾病发病率预报提供了一种新的预报方法。
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| 关 键 词： | 高血压病 发病率预报 人工神经网络 统计分析 预报模型 医疗气象学 气候条件 |
| 文章编号： | 1000-2022(2003)02-0252-06 |
| 修稿时间： | 2002年6月12日 |
Study on Artificial Neural Network Prediction for Hypertension |
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| MA Yu xia ,ZHENG You fei ,WEN Xiu ping ,SANG Jian ren.Study on Artificial Neural Network Prediction for Hypertension[J].Journal of Nanjing Institute of Meteorology,2003,26(2):252-257. |
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| Authors: | MA Yu xia ZHENG You fei WEN Xiu ping SANG Jian ren |
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| Institution: | MA Yu xia 1,ZHENG You fei 1,WEN Xiu ping 2,SANG Jian ren 2 |
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| Abstract: | On the basis of statistical analysis,selection of main meteorological factors remarkedly affecting hypertension is conducted for Yinchuan area.The factors,as input variables,are used for studying and training of multi level feed forward neural network BP algorithm and an ANN hypertension model is developed for prediction of this disease.In comparison with a statistical model,results show that this model is easier to operate with smaller error and higher ability and provide a new method for hypertension prediction. |
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| Keywords: | hypertension incidence of a disease artificial neural network BP network prediction model |
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