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基于AHP和BP神经网络的深部地热水可持续开发能力评价
引用本文:张娟娟,林建旺,林黎,田光辉.基于AHP和BP神经网络的深部地热水可持续开发能力评价[J].地下水,2008,30(6):46-48.
作者姓名:张娟娟  林建旺  林黎  田光辉
作者单位:1. 河南理工大学资源环境学院,河南,焦作,454003
2. 天津地热勘查开发设计院,天津,300250
基金项目:河南省科技攻关项目 , 河南理工大学校科研和教改项目  
摘    要:采用资料完整性、开采潜力、回灌量、平均水压下降速率、地面沉降速率、水温、水质、地热井布局8项指标构建天津地热可持续开发能力评价指标体系;运用层次分析法确定了各项指标的权重,建立起评价因素集和评语集,给出了归一化数值;建立了天津地热可持续开发能力的BP神经网络模型,以层次分析法得出的结果作为样本,对BP网络进行了训练和测试,实例评价结果表明了AHP和BP神经网络方法的可行性,为地热资源的可持续开发能力评价提供了一种新的评价方法。

关 键 词:层次分析法  BP神经网络  地热

Evaluation of deep geothermal water sustainable development ability based on AHP and BP neural network
ZHANG Juan-juan,LIN Jian-wang,LIN Li,TIAN Guang-hui.Evaluation of deep geothermal water sustainable development ability based on AHP and BP neural network[J].Groundwater,2008,30(6):46-48.
Authors:ZHANG Juan-juan  LIN Jian-wang  LIN Li  TIAN Guang-hui
Institution:ZHANG Juan-juan1,LIN Jian-wang2,LIN Li2,TIAN Guang-hui2 (Institute of Resource , Environment,Henan Polytechnic University,Jiaozuo Henan 454003,2 Tianjin Geothermal Reconnaissance , Exploitation Design Institute,Tianjin 300250,China)
Abstract:Eight indicators such as the integrality of the data,exploration potential,the quantity of the irrigation,the descended speed of the average water-pressure,the speed of the land subsidence,the temperature of the water,water quality,the distribution of the Geothermal wells were selected to construct the evaluation index system of the sustainable development ability of geothermal resources in Tianjin.The analytic hierarchy process(AHP) was selected to determine the index weight on every level,the sets of eval...
Keywords:the analytic hierarchy process  back propagation neural network  geothermal energy  
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