| 地下水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,徐婷婷,丁晶.地下水环境监测优化布点的人工神经网络模型[J].城市环境与城市生态,2003,16(6):169-171. |
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| 作者姓名： | 李祚泳 徐婷婷 丁晶 |
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| 作者单位： | [1]成都信息工程学院地球环境科学系，四川成都610041 [2]四川大学水电学院，四川成都610065 |
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| 基金项目： | 国家自然科学基金资助项目(40271024)，四川省教育厅自然科学基金重点项目(2002A048) |
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| 摘 要： | 以地下水水质指标国家分级标准为训练样本，用样本的地下水水质综合指数计算值作为样本的期望输出值，对BP网络进行训练，用训练好的网络对某地地下水水质监测点进行优选。结果表明：BP网络用于地下水环境监测点优选具有简单、实用和客观性好的特点。
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| 关 键 词： | 地下水 环境监测 优化布点 人工神经网络 模型 水质监测 |
Application of Artificial Neural Network to Optimize Groundwater Quality Monitoring Sites |
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| LI Zuo_yong,XU Ting_ting,DING Jing.Application of Artificial Neural Network to Optimize Groundwater Quality Monitoring Sites[J].Urban Environment & Urban Ecology,2003,16(6):169-171. |
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| Authors: | LI Zuo_yong XU Ting_ting DING Jing |
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| Institution: | LI Zuo_yong~1,XU Ting_ting~1,DING Jing~2 |
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| Abstract: | Selecting the national stardards of groundwater as training samples, and using the value of comprehensive index of groundwater quality of each sample as its target value, the training was performed to BP network. The trained network was applied to optimize the groundwater quality monitoring sites of a region. The results of this optimal methods shows that it has simplicity, practicability and objectivity for BP network to optimize groundwater (quality) monitoring sites. |
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| Keywords: | groundwater environmental monitoring optimization of monitoring site BP network |
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