2021
DOI: 10.21203/rs.3.rs-234142/v1
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On the Determination of Groundwater Level using Temporal and Spatial Parameters: Advanced Machine Learning Methods

Abstract: Prediction of groundwater level is a useful tool for managing groundwater resources in the mining area. Water resources management requires identifying potential periods for groundwater drainage to prevent groundwater from entering the mine pit and reduce high costs. For this purpose, four multilayer perceptron (MLP) neural network models and four cascade forward (CF) neural network models optimized with Bayesian Regularization (BR), Levenberg-Marquardt (LM), Resilient Backpropagation (RB), and Scaled Conjugat… Show more

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