| 环境监测优化布点的人工神经网络模型 |
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| 引用本文： | 李祚泳.环境监测优化布点的人工神经网络模型[J].中国环境科学,1997,17(1):0-0. |
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| 作者姓名： | 李祚泳 |
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| 作者单位： | 成都气象学院气电系 成都610041 |
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| 基金项目： | 四川省应用基础研究专项基金 |
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| 摘 要： | 采用B－P算法的人工神经网络，对选定的标准样本进行训练，用训练结束后网络的稳定权值和阈值，并结合标准样本的网络输出，即可对环境监测样点进行优选。应用于大气环境监测优化布点的实例结果表明，人工神经网络用于环境监测优化布点是可行的
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| 关 键 词： | 环境监测 优化布点 人工神经网络 B－P算法 |
| 收稿时间： | 1900-01-01; |
Model of optimal number of sites of environmental monitoring based on artificial neural network |
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| $$$$ Li Zuoyong Chengdu Institute of Meteorology,Chengdu.Model of optimal number of sites of environmental monitoring based on artificial neural network[J].China Environmental Science,1997,17(1):0-0. |
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| Authors: | $$$$ Li Zuoyong Chengdu Institute of Meteorology Chengdu |
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| Institution: | $$$$ Li Zuoyong Chengdu Institute of Meteorology,Chengdu 610041 |
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| Abstract: | Using the B P algorithm of artificial neural network,selected standard samples are trained.The optimal number of sites of environmental monitoring is obtained using the stable weight values and threshold values of the network trained,as well as the network output for the standard samples. Results of its practical examples for atmospheric environment monitoring suggest that it is feasible to optimize the number of sites of environmental monitoring by artificial neural network. |
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| Keywords: | environmental monitoring optimal number of sites artificial neural network B P algorithm |
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