Prediction and simulation of monthly groundwater levels by genetic programming

Journal of Hydro-Environment Research

Volumn 7, Issue 4, 2013, Pages 253-260

  Fallah Mehdipour, E ^a   Bozorg Haddad, O ^a   Marino M A ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b University of California Davis   (United States)

Author keywords

Adaptive neural fuzzy inference system; Genetic programming; Groundwater level; Prediction; Simulation

Indexed keywords

ADAPTIVE NEURAL FUZZY INFERENCE SYSTEM (ANFIS); ARTIFICIAL INTELLIGENCE TOOLS; GROUND-WATER HYDROLOGY; GROUNDWATER MODELING; PREDICTION AND SIMULATIONS; ROOT MEAN SQUARED ERRORS; SIMULATION; TRAINING AND TESTING;

AQUIFERS; ARTIFICIAL INTELLIGENCE; FORECASTING; FUZZY SYSTEMS; GENETIC PROGRAMMING; GROUNDWATER; SURFACE WATERS; TOOLS; WATER LEVELS;

GROUNDWATER RESOURCES;

AQUIFER; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; ERROR ANALYSIS; EVAPORATION; GROUNDWATER; PRECIPITATION (CLIMATOLOGY); PREDICTION; WATER LEVEL;

EID: 84888128953     PISSN: 15706443     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jher.2013.03.005     Document Type: Article

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