Integrated neural networks for monthly river flow estimation in arid inland basin of Northwest China

Journal of Hydrology

Volumn 420-421, Issue , 2012, Pages 159-170

  Huo, Zailin ^a   Feng, Shaoyuan ^a,b   Kang, Shaozhong ^a   Huang, Guanhua ^a   Wang, Fengxin ^a   Guo, Ping ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b YANGZHOU UNIVERSITY   (China)

Author keywords

Artificial Neural Network; Northwest China; River flow; Simulation

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CONCEPTUAL MODEL; EFFECTIVE TOOL; FUNCTIONAL RELATIONSHIP; HYDROLOGICAL FACTORS; HYDROLOGICAL PROCESS; LOCAL LINEAR REGRESSION; LOWER PRECISION; NONLINEAR MAPPINGS; NORTHWEST CHINA; PHYSICAL CHARACTERISTICS; RAINFALL DISTRIBUTION; RAINFALL RUNOFF; RELATIVE ERRORS; RIVER FLOW; RIVER FLOW MODELS; ROOT MEAN SQUARE ERRORS; SEMI-DISTRIBUTED MODEL; SIMULATION; SPATIAL VARIATIONS; STREAMFLOW MODELING; STREAMFLOW MODELS; WATER RESOURCES MANAGEMENT;

CATCHMENTS; COMPUTER SIMULATION; ESTIMATION; INTEGRATION; LINEAR REGRESSION; LUNAR SURFACE ANALYSIS; MEAN SQUARE ERROR; MODELS; RAIN; RIVERS; RUNOFF; SPATIAL DISTRIBUTION; STREAM FLOW; WATER RESOURCES;

NEURAL NETWORKS;

ARID REGION; ARTIFICIAL NEURAL NETWORK; CATCHMENT; HETEROGENEITY; RAINFALL-RUNOFF MODELING; RIVER BASIN; RIVER FLOW; WATER MANAGEMENT; WATER RESOURCE;

CHINA;

EID: 84856234248     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2011.11.054     Document Type: Article

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