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BP神经网络在某油田区地下水质量评价中的应用
引用本文:吕敦玉,余楚,周爱国,周建伟,蔡鹤生. BP神经网络在某油田区地下水质量评价中的应用[J]. 地质科技情报, 2011, 30(3): 108-111
作者姓名:吕敦玉  余楚  周爱国  周建伟  蔡鹤生
作者单位:中国地质大学环境学院,武汉,430074
基金项目:黑龙江省科技项目“大庆油田核心区地下水防污性能评价及石油污染修复技术研究”
摘    要:对误差反向传播(error back propagation,简称BP)人工神经网络在水质评价中应用的原理进行了分析,并将其应用于地下水质量评价.首先,利用MATLAB7的神经网络工具箱,根据GB/T 14848-93《地下水质量标准》,构建出10-11-5三层结构的BP人工神经网络模型,并对某油田区的地下水水质进行了...

关 键 词:BP人工神经网络  油田区  地下水质量评价

Application of BP Neural Network in Evaluation of Groundwater Quality of Certain Oilfield
Lü Dun-yu , YU Chu , ZHOU Ai-guo , ZHOU Jian-wei , CAI He-sheng. Application of BP Neural Network in Evaluation of Groundwater Quality of Certain Oilfield[J]. Geological Science and Technology Information, 2011, 30(3): 108-111
Authors:Lü Dun-yu    YU Chu    ZHOU Ai-guo    ZHOU Jian-wei    CAI He-sheng
Affiliation:Lü Dun-yu,YU Chu,ZHOU Ai-guo,ZHOU Jian-wei,CAI He-sheng(School of Environmental Studies,China University of Geosciences,Wuhan 430074,China)
Abstract:In this paper,the error backpropagation(referred to as BP) artificial neural network principle was analyzed and applied to groundwater quality evaluation.Based on the neural network toolbox of MATLAB7,a 10-11-5 three-tier structure of BP neural network model was created to evaluate oilfield groundwater quality.The evaluation results were compared with that of Nemerow index method.The results reflect the reality of the groundwater situation of the studied oilfield and indicate that the BP neural network for ...
Keywords:BP artificial neural network  oilfield  groundwater quality assessment  
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