Gamma Test-based MLP based ANN Model for Groundwater Fluctuation Forecasting in Kanpur District, Uttar Pradesh
Groundwater Fluctuation Forecasting using Gamma Test-based MLP based ANN Model
DOI:
https://doi.org/10.21921/jas.v10i02.12720Keywords:
Neural networks, Forecasting, Gamma test, Groundwater level fluctuationsAbstract
This study seeks to determine the accuracy of the groundwater level fluctuations forecasted at the Kanpur district of India using artificial neural networks (ANNs). An overview of how gamma tests can be useful together to decrease the huge amount of work involved in the process of trial-and-error in nonlinear modeling method is presented in this study. The results indicated that performance of multilayer perceptron (MLP) based neural network (M-16, architecture 4-18-1) is satisfactory in the groundwater level fluctuations forecasting. The performance assessment shows that the MLP model performs significantly better. In future studies, it might be useful to apply these approaches as a laborious approach for ensuring that the appropriate results are obtained very quickly even though they are time-consuming.
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