Estimating anisotropic aquifer parameters by artificial neural networks

Hydrological Processes

Volumn 24, Issue 22, 2010, Pages 3237-3250

  Lin, Hsien Tsung ^a   Ke, Kai Yuan ^a   Chen, Chu Hui ^b   Wu, Shih Ching ^a   Tan, Yih Chi ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b CHINA UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Artificial neural networks; Hydrological parameters; Principal component analysis

Indexed keywords

ACCURATE ESTIMATION; ALLUVIAL FANS; ANALYTICAL SOLUTIONS; AQUIFER PARAMETERS; ARTIFICIAL NEURAL NETWORK; CURVE METHOD; EFFECTIVE PARAMETERS; HYDROLOGICAL PARAMETERS; IN-SITU OBSERVATIONS; MATCH-POINT; MODIFIED METHODS; POROUS MEDIA; PRINCIPAL COMPONENTS; STORAGE COEFFICIENT; SYNTHETIC-TIME; TRAINING SETS; TYPE CURVES; WELL FUNCTION;

ANISOTROPY; AQUIFERS; HYDROGEOLOGY; NEURAL NETWORKS; PARAMETER ESTIMATION; POROUS MATERIALS; WATER WELLS;

PRINCIPAL COMPONENT ANALYSIS;

ANISOTROPY; AQUIFER; ARTIFICIAL NEURAL NETWORK; ESTIMATION METHOD; HYDROLOGICAL CYCLE; PRINCIPAL COMPONENT ANALYSIS;

CHOUSHUI RIVER; TAIWAN;

EID: 78649509566     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.7750     Document Type: Article

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