Parameter estimation using artificial neural network and genetic algorithm for free-product migration and recovery

Water Resources Research

Volumn 34, Issue 5, 1998, Pages 1101-1113

  Morshed, Jahangir ^a   Kaluarachchi, Jagath J ^a,b  

^a Utah State University   (United States)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; GENETIC ALGORITHM; GROUNDWATER MODEL; PARAMETERIZATION;

ALGORITHMS; AQUIFERS; COMPUTATIONAL EFFICIENCY; COMPUTER SYSTEM RECOVERY; GENETIC ALGORITHMS; GRAIN SIZE AND SHAPE; GROUNDWATER; GROUNDWATER POLLUTION; GROUNDWATER RESOURCES; HYDRAULIC CONDUCTIVITY; HYDROCARBONS; INVERSE PROBLEMS; NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS;

GRAIN SIZE DISTRIBUTION; HETEROGENEOUS CONDITIONS; HETEROGENEOUS SOILS; INVERSE GROUNDWATER MODELING; ROBUST OPTIMIZATION; SATURATED HYDRAULIC CONDUCTIVITY; UNCONFINED AQUIFERS; UNIVERSAL FUNCTIONS;

PARAMETER ESTIMATION;

EID: 0031968002     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/98WR00006     Document Type: Article

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