Aquifer parameter and zone structure estimation using kernel-based fuzzy c-means clustering and genetic algorithm

Journal of Hydrology

Volumn 343, Issue 3-4, 2007, Pages 240-253

  Ayvaz, M Tamer ^a   Karahan, Halil ^a   Aral, Mustafa M ^b  

^a PAMUKKALE UNIVERSITY   (Turkey)

^b Georgia Institute of Technology   (United States)

Author keywords

Genetic algorithm; Groundwater modeling; Inverse problems; Kernel based fuzzy c means clustering; Parameter estimation; Zone structure

Indexed keywords

COMPUTER SIMULATION; FUZZY SETS; GENETIC ALGORITHMS; INVERSE PROBLEMS; MATHEMATICAL MODELS; NUMERICAL METHODS; OPTIMIZATION; PARAMETER ESTIMATION; SENSITIVITY ANALYSIS;

GROUNDWATER MODELING; PIEZOMETRIC HEADS; TRANSMISSIVITY DISTRIBUTION;

AQUIFERS;

AQUIFERS; COMPUTER SIMULATION; FUZZY SETS; GENETIC ALGORITHMS; INVERSE PROBLEMS; MATHEMATICAL MODELS; NUMERICAL METHODS; OPTIMIZATION; PARAMETER ESTIMATION; SENSITIVITY ANALYSIS;

AQUIFER CHARACTERIZATION; FUZZY MATHEMATICS; GENETIC ALGORITHM; GROUNDWATER; HYDROLOGICAL MODELING; INVERSE ANALYSIS; NUMERICAL MODEL; OPTIMIZATION; SENSITIVITY ANALYSIS; TRANSMISSIVITY; ZONE;

EID: 34548118351     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2007.06.018     Document Type: Article

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