Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《GEOTICHNICAL INVESTIGATION AND SURVEYING》 1999-02
Add to Favorite Get Latest Update

Establishment and Application of Artificial Neural Network for Groundwater Resource System

Ding Zhixiong et al.(42)  
Model of artificial neural network for groundwater resource system is established based on the basic principle of artificial neural network. The said model is correct and useful as verified by practical example.
【CateGory Index】: P641.8,TV211.1
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【References】
Chinese Journal Full-text Database 10 Hits
1 YANG Ping;WANG Xinmin;LU Laijun;College of Earth Science,Jilin University;Institute of Applied Mathematics,Changchun University of Technology;;Predicting the trends of pollutant concentrations in groundwater based on the combined method of the improved quantification theory and RBF artificial neural network[J];地学前缘;2016-03
2 Liu Chengzhong1,2,Huang Gaobao2,Han Jianmin3(1.College of Information Science & Technology,Gansu Agricultural University,Lanzhou 730070,China;2.Gansu Provincial Key Laboratory of Aridland Crop Science,Lanzhou 730070,China;3.College of Humanities,Gansu Agricultural University,Lanzhou 730070,China);SVR method for the dynamic prediction of groundwater level based on PCA feature extraction[J];工程勘察;2011-03
3 QIN Chuan-yu1,ZHAO Yong-sheng1,ZHANG Wei-hong1,GUO Xiao-dong1,GENG Nan-nan2(1.College of Environment and Resources,Jilin University,Changchun,Jilin 130026,China;2.Computer Department,Electric Institute of Northeast Power Engineering,Changchun,Jilin 132001,China);Groundwater Quality Assessment Based on BP Neural Network in Qiqihar District[J];环境监测管理与技术;2007-02
4 YANG Xiu-ying,LIANG Hong(School of Geography and Biology,Guizhou Normal University,Guiyang,Guizhou 550001,China);The evaluation on the low-flow resource carrying capacity in karst area based on artificial neural network model——A case study in Guiyang City[J];贵州师范大学学报(自然科学版);2006-04
5 CHEN Nan-xiang,CAO Lian-hai,Xu Jian-xin (Xi'an University of Technology,Institute of Water Resources and Hydro-Electric Engineering,Xi'an,Shaanxi 710048,China; North China Institute of Water Conservancy and Hydroelectric Power,Geotechnical Engineering,Zhengzhou,Henan 450008,China);The model of phase space reconstruction and neural network in the groundwater level[J];西北农林科技大学学报(自然科学版);2005-12
6 Zhou Yu-feng(Zhejiang Gongshang University, Hangzhou, Zhejiang 310035, China);Advances in study on management model of groundwater resources with multi-objective[J];水资源与水工程学报;2005-02
7 ZHANG Bao-Xiang 1,2 ,Liu Qing-Yong 1,2 ,LU Zhao-Xia 3,ZHAO De-Ling 3 (1.Water Conservancy Research Institute of Shandong Province, Jinan 250013,China; 2.College of Water Resources and Environment, China University of Geosciences, Beijing 100083, China; 3.Water Conservancy Bureau of Jinan City, Jinan 250014, China);STUDY ON THE KARST GROUNDWATER FORECAST MODELING OF JINAN URBAN AREA BASED ON THE NEURAL NETWORK AND THE GENETIC ALGORITHM[J];山东农业大学学报(自然科学版);2004-03
8 LIU Yong-jian (College of Construction, Guangdong University of Technology, Guangzhou510643, China);The establishment and application of dynamic prediction model of groundwater level based on intelligent algorithm[J];水文地质工程地质;2004-03
9 WANG Jinglei1, WU Jingshe1, SUN Jingsheng1,QI Xuebin1(1.Farmland Irrigation Research Institute,MWR,Xinxiang,Henan453003,China);Application of support vector machine method in prediction of groundwater level[J];水利学报;2003-05
10 CHEN Nan xiang, JING Guo qiang (Dept. of Geotechnical Engineering, North China Institute of water Conservancy and Hydroelectric Power, Zhengzhou 450008, China);Parameter Identification for Mathematical Groundwater Model Based on Neural Network[J];灌溉排水;2002-03
【Citations】
Chinese Journal Full-text Database 2 Hits
1 Zhang Xiang et al.;Application of Self organising Neural Network to the Classification of Groundwater Regime[J];工程勘察;1998-02
2 Chen Zhijun (General Office,Ministry of Water Resources);Establishment and Application of Neural Network Model for Irrigation Prediction[J];水利学报;1998-02
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 JING Xin'ai;WANG Hao;Yellow River Institute of Hydraulic Research;Yellow River Jiaozuo Bureau;;Comparation of the Yellow River Water Consumption Prediction Models[J];人民黄河;2017-12
2 Chang Di;Qi Xuebin;Huang Zhongdong;Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences;Graduate School of Chinese Academy of Agricultural Sciences;Key Laboratory of High-efficient and Safe Utilization of Agriculture Water Resources of CAAS;;Regional Agricultural Irrigation Water Consumption Prediction:Research Progress[J];中国农学通报;2017-31
3 ZHANG Jianzhen;CHENG Zihua;Academe of Regional Geological Survey and Mineral Resources Exploration of Hebei;North China University of Science and Technology;;Application of the Groundwater Dynamics Monitoring in Geological Exploration[J];山西冶金;2016-04
4 XU Kai,LU Chui-yu,JI Hai-ping(State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin,China Institute of Water Resources and Hydropower Research, Beijing 100038,China);Review on Calculation Methods for Crop Evapotranspiration[J];人民黄河;2013-04
5 Dai Xiaobo,Qiu Xianfeng,He Jinping,Wang Wenchen,Chen Xuanwen(Shanghai Ship and Shipping Research Institute,Shanghai 200135,China);Quantitative Estimate of Unorganized Emission of VOCs from Petroleum Refinery Wastwater Treatment[J];上海船舶运输科学研究所学报;2012-01
6 CHENG Jinsong,Lü Huijin,LIU Ling(College of Geography and Enviromental Sciences,Zhejiang Normal University,Jinhua 321004,China);Grey relational analysis of influence factors on water consumption in Taiyuan City[J];水资源与水工程学报;2012-02
7 LIU Yu-bang~(1,2),LIANG Chuan~1 (1.College of Water Resource & Hydropower Sichuan University,Chengdu 610041,China) (2.Academic Journal Editors Center Chengdu University of Technology,Chengdu 610059,China);The Principal Component Projection-clustering Model Based on Nonlinear Transformation and Its Application in Groundwater Classification[J];数学的实践与认识;2010-10
8 DAI Xiaobo1,ZHANG Mingxu2,FU Qingyan2(1.School of Environmental Science and Engineering,Donghua University,Shanghai 200051,China;2.Shanghai Environmental Monitoring Centre,Shanghai 200030,China);Estimation of VOCs Emission from Refinery Wastewater Treatment Facilities of Petrochemical Industry by BP Artificial Neural Network[J];环保科技;2010-01
9 ZHANG Xiang,HU Xian-qun,HUANG Ka,WANG Xiao-ni(State Key Lab of Water Resource and Hydropower Engineer Science,Wuhan University 430072,China);Application of Self-Organizing Neural Networks in Identification of Soil Moisture Spatial Patterns[J];中国农村水利水电;2007-07
10 Liu Bingjun1,2,Shao Dongguo2,Shen Xinping2(1.Department of Water Resources and Environment,Sun Yat-sen University,Guangzhou 510275,China;2.State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072,China);Advances in researches on the spatial-temporal features of crop water requirement[J];农业工程学报;2007-05
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 YANG Huifeng;WANG Guiling;ZHANG Yilong;Institute of Hydrogeology and Environmental Geology,Chinese Academy of Geological Sciences;;A division scheme of groundwater systems in North China[J];地学前缘;2014-04
2 LI Qiao;ZHOU Jinlong;GAO Yexin;JIA Ruiliang;BAI Chunyan;JI Yuanyuan;YANG Guangyan;WU Xia;College of Hydraulic and Civil Engineering,Xinjiang Agricultural University;Institute of Hydrogeology and Environmental Geology,Chinese Academy of Geological Sciences;School of Environmental Studies,China University of Geosciences(Wuhan);;Variations of groundwater quality in 2003-2011 in the plain area of North Xinjiang,China[J];地学前缘;2014-04
3 LI Na;ZHOU Wei-bo;WANG Jin-feng;HE Jun-qi;DONG Qi-guang;DANG Yong-ren;College of Environmental Science and Engineering,Chang'an University;Jinghuiqu Irrigation District Administration Bureau of Shaanxi Province;;ANFIS Model and Its Application in Groundwater Prediction in Irrigation District Based on Principal Component Analysis[J];人民黄河;2014-06
4 Li Dongan1,Ning Junrui2 and Liu Zhenfeng2(1.Faculty of Resources,China University of Geosciences,Wuhan,Hubei 430074,China;2.SINOPEC Petroleum Exploration and Production Research Institute,Beijing 100083,China);Reservoir prediction with integrated information based on artificial neural network technology and geostatistics[J];石油与天然气地质;2010-04
5 YAN Guo-hua,ZHU Yong-sheng(School of Mechanical Engineering,Xi'an Jiaotong University,Xi'an 710049);Parameters Selection Method for Support Vector Machine Regression[J];计算机工程;2009-14
6 ZHENG Xiao-jing,LIU Xu-yan,WEI Yong-xiang,CHEN Ying(Earthquake Administration of Fujian Province,Fuzhou 350003,China);Analysis of Effect of Precipitation to Underground Water Level of Qingyang Stressed Well of Fujian Province[J];地震;2008-04
7 Luo Jinming Zhao Guocai Gu Yu Qi Kai (Liao Ning Technical University, Huludao, Liaoning 125105);Application of RBF Neural Network in the Prediction of Variation of Groundwater Level[J];电气技术;2008-03
8 Biswajeet Pradhan1,Saro Lee2,1.Cilix Corporation,Lot L4-I-6,Level 4,Enterprise 4,Technology Park Malaysia,Bukit Jalil Highway,Bukit Jalil,57000,Kuala Lumpur,Malaysia 2.Geoscience Information Center,Korea Institute of Geoscience and Mineral Resources(KIGAM) 30,Kajung-Dong,Yusung-Gu,Taejon,Korea;UTILIZATION OF OPTICAL REMOTE SENSING DATA AND GIS TOOLS FOR REGIONAL LANDSLIDE HAZARD ANALYSIS USING AN ARTIFICIAL NEURAL NETWORK MODEL[J];地学前缘;2007-06
9 SUN Tao1,CHU Xian-feng2,PAN Shi-bing1 (1.China Institute of Water Resources and Hydropower Research,Beijing 100044,China;2.Jilin Institute of Highway Survey and Design,Changchun 130021,Jilin,China);Determination of Hydrogeological Point Parameters Based on Quantification Theory Ⅰ[J];地球科学与环境学报;2007-03
10 XIANG Su-lin~1 LIU Zhan-meng~1 YOU Ben-sheng~2 (1.School of Civil Engineering and Architecture,East China JiaoTong University,Nanchang 330013,China; 2.Nanjing Institute of Geography & Limnology,Chinese Academy Sciences,Nanjing 210008,China);Study on Multivariate Linear Regression Analyzing Model for Groundwater Discharge Forecasting[J];水文;2006-06
【Secondary References】
Chinese Journal Full-text Database 9 Hits
1 Chang Di;Qi Xuebin;Huang Zhongdong;Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences;Graduate School of Chinese Academy of Agricultural Sciences;Key Laboratory of High-efficient and Safe Utilization of Agriculture Water Resources of CAAS;;Regional Agricultural Irrigation Water Consumption Prediction:Research Progress[J];中国农学通报;2017-31
2 LI Hao-zhe;FAN Gui-sheng;College of Hydroscience and Engineering,Taiyuan University of Technology;;A Comparative Analysis and Study on Forecast Precision of Parameters of Kostiakov Infiltration Models[J];节水灌溉;2017-11
3 LIU Liying;GUAN Dongjie;YANG Qingwei;SU Weici;College of River and Ocean Engineering,Chongqing Jiaotong University;College of Mathematics and Statistics,Chongqing Technology and Business University;College of Architecture and Urban Planning,Chongqing Jiaotong University;College of Geography and Tourism,Chongqing Normal University;Institute of Mountain Resources,Guizhou Academy of Sciences;;Influence Factors of Water Resource Security in Karst Area Based on MIV-BP Model[J];水土保持通报;2017-05
4 YANG Yihua;LUO Weiwei;Bureau of Water Administration and Safety Supervision,Changjiang Water Resources Commission;State Key Laboratory of Water Resources & Hydropower Engineering Science,Wuhan University;Department of Basic Science,Military Economic Academy;;Research on runoff forecast based on KPCA-PSO-SVM[J];人民长江;2017-03
5 Yannan Zhao;Yuan Li;Lifen Zhang;Qiuliang Wang;Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration;Wuhan Base of Institute of Crustal Dynamics, China Earthquake Administration;;Groundwater level prediction of landslide based on classification and regression tree[J];Geodesy and Geodynamics;2016-05
6 Guan shuai;;The prediction of the groundwater table based on GRNN[J];吉林水利;2016-04
7 MA Zhuangzhuang;SHU Longcang;JI Yefei;JING Yandong;LU Chengpeng;State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University;Songliao Water Resources Commission;;Calculation of karst water safe yield by using BP neural network based on genetic algorithm[J];水文地质工程地质;2016-01
8 ZHANG Jie;YANG Qing;ZHAO Jie;Hydrogeology and Engineering Geology Team of Beijing;;Select the Suitability of Groundwater Quality Prediction Method[J];城市地质;2015-04
9 LEI Guo-qing;FAN Gui-sheng;College of Water Resource Science and Engineering Taiyuan University of Technology;;Research on Soil Infiltration Parameters Prediction Based on Support Vector Machine[J];节水灌溉;2015-12
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 Li Angui et al;Dynamic classification of underground water levels based on the theory of Fuzzy set.[J];水文地质工程地质;1993-04
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved