An Integrated Support Vector Machineand Quantum Behaved Particle Swarm Optimization Algorithm for Groundwater Level Forecasting

Abstract

Groundwater level prediction in a water basin plays a significant role in the management of groundwater resources. Aground water level forecasting system is developed in this study using Support vector Machines (SVM). Further Quantum behaved Particle Swarm Optimization (QPSO) function is employed in this study to determine the SVM parameters. Later, the… (More)

Topics

5 Figures and Tables

Cite this paper

@inproceedings{Mahammood2013AnIS, title={An Integrated Support Vector Machineand Quantum Behaved Particle Swarm Optimization Algorithm for Groundwater Level Forecasting}, author={Vazeer Mahammood}, year={2013} }