Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping - Naghibi, Seyed Amir; Ahmadi, Kourosh; Daneshi, Alireza (Water resources management, 2017)
Keywords: Algorithms; Altitude; Area; Atmospheric Sciences; Civil Engineering; Earth and Environmental Science; Earth Sciences; Effectiveness; Efficiency; Environment; Gene mapping; Genetic algorithms; Geotechnical Engineering & Applied Earth Sciences; Groundwater; Groundwater potential; Hydrogeology; Hydrology/Water Resources; Kernel functions; Kernels; Land use; Lithology; Locations (working); Management; Mapping; Mathematical models; Methods; Optimization algorithms; Spring; Support vector machines; Training; Water; Water scarcity; water shortages; Water supply; Random forest; Support vector machine; Iran; Geographic information system; Genetic algorithm; Ardebil