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• W1592972299 abstract "The performance of the artificial neural network (ANN) model, i.e. standard feed-forward neural network trained with Levenberg-Marquardt algorithm, was examined for forecasting groundwater level at Maheshwaram watershed, Hyderabad, India. The model efficiency and accuracy were measured based on the root mean square error (RMSE) and regression coefficient (R 2 ). The model provided the best fit and the predicted trend followed the observed data closely (RMSE = 4.50 and R 2 = 0.93). Thus, for precise and accurate groundwater level forecasting, ANN appears to be a promising tool." @default.
• W1592972299 created "2016-06-24" @default.
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• W1592972299 date "2009-01-01" @default.
• W1592972299 modified "2023-09-27" @default.
• W1592972299 title "Forecasting groundwater level using artificial neural networks." @default.
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