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BP神经网络在地下水水质评价中的应用 被引量:5

Application of BP Neural Network in Groundwater Quality Evaluation
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摘要 地下水污染是当前较为严峻的现实问题,地下水水质评价是开发和保护地下水资源的前提,将BP神经网络应用到地下水水质评价中,解决了以往评价方法人为性较大和隶属函数构建不合理等问题。应用实例表明,BP神经网络法训练速度快、精度高,能如实地评价地下水质情况。 Now, the pollution of groundwater has become the serious and practical problems, groundwater quality evaluation is the precondition of exploitation and protection groundwater resource. BP neural network is used in groundwater quality evaluation by this paper, it resolved some the former evaluation' s problem which was thought as has mere man - made property and belonging function construction is unreasonable. It is illustrated that this method of BP neural networks has excellence as rapid speed and high precision, and it could evaluate the instance of groundwater quality.
出处 《水利科技与经济》 2009年第3期191-192,195,共3页 Water Conservancy Science and Technology and Economy
关键词 BP神经网络 地下水 水质评价 激励函数 BP neural network groundwater water quality evaluation activation function
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  • 1李梅,孟凡玲,李群,黄强.基于改进BP神经网络的地下水环境脆弱性评价[J].河海大学学报(自然科学版),2007,35(3):245-250. 被引量:19
  • 2Rumelhst D E,Hinton G E, Williams R J.Learning Representations by Back-propagating Errors[J].Nature, 19S6, (323) :533 - 536.
  • 3刘宪存,孙庆义.济宁市地下水环境预测模型研究与南水北调城市水资源规划[R].济宁:济宁市水利局,2006.

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