ISSN 1006-3021 CN11-3474/P
Published bimonthly started in 1979
人工神经网络在水源地影响评价中的应用
  
关键词:BP neural network  wellhead field  groundwater  evaluation
基金项目:
作者单位
魏加华 中国地质大学北京 
李宁 北京地质工程勘察院 
张建立 北京大学地质系北京 
程凌鹏 中国地质大学北京 
张远东 中国地质大学北京 
周宏 河石油勘探局供水公司水文地质所辽宁盘锦 
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摘要:
The Application of BP Neural Network to the Evaluation of Wellhead Field Influence
      In order to evaluate the influence of groundwater pumping on groundwater environment, the authors formulated a model with four input units and two output units by using a three layer BP neural network. The drawdown area caused by pumping and groundwater recharge volume were predicted by the learned and trained BP nerwork. The results of the evaluation show that the application of BP neural network to simulating groundwater system is convenient, precise and satisfactory in predicting groundwater dynamic changes.
WEI Jia-hua,LI Ning,ZHANG Jian-li,CHENG Ling-peng,ZHANG Yuan-dong,ZHOU Hong.2001.The Application of BP Neural Network to the Evaluation of Wellhead Field Influence[J].Acta Geoscientica Sinica,22(3):283-288.
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