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Comparative Study of the Three Models (ANN-PMC), (DWT-ANN-PMC) and (MLR) for Prediction of the Groundwater Level of the Surface Water Table in the Saïss Plain (North of Morocco)
2017
International Journal of Intelligent Engineering and Systems
A new method based on the coupling of discrete wavelets (DWT) and artificial neural networks with perceptron multilayers (ANN-PMC) is proposed to predict the groundwater level. The relative performance of the DWT-ANN-PMC model has been regularly compared to artificial neural network (ANN-PMC) and multiple linear regression (MLR) models. Precipitation, temperature and average groundwater level are the variables introduced to explain and validate the models, with a monthly time step for the
doi:10.22266/ijies2017.1031.24
fatcat:fseiewjiyjgjnkvpkelzdwxeau