Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open pit mine

Journal of Hydrology

Volumn 536, Issue , 2016, Pages 471-484

  Bahrami, Saeed ^a   Doulati Ardejani, Faramarz ^a   Baafi, Ernest ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

Artificial neural networks; Genetic algorithm; Groundwater inflow; Mine hydrogeology; Numerical model; Simulated annealing

Indexed keywords

ALGORITHMS; AQUIFERS; FINITE ELEMENT METHOD; GENETIC ALGORITHMS; GROUNDWATER; GROUNDWATER RESOURCES; HYDROGEOLOGY; INVERSE PROBLEMS; NEURAL NETWORKS; OPEN PIT MINING; SIMULATED ANNEALING;

AQUIFER THICKNESS; GROUND WATER INFLOW; HYBRID METHOD; HYBRID MODEL; HYDRAULIC HEADS; INPUT LAYERS; MINING PROCESS; OBSERVATION WELLS;

NUMERICAL MODELS;

AQUIFER; ARTIFICIAL NEURAL NETWORK; GENETIC ALGORITHM; GROUNDWATER FLOW; HYDRAULIC HEAD; HYDROGEOLOGY; INFLOW; NUMERICAL MODEL; OPEN PIT MINE; PARAMETERIZATION; PENETRATION; SIMULATED ANNEALING;

EID: 84962581935     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2016.03.002     Document Type: Article

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