Predicting the Water Level Fluctuation in an Alpine Lake Using Physically Based, Artificial Neural Network, and Time Series Forecasting Models

<div>The effect of number of nodes in the hidden layer on the root mean square error (RMSE) for the (a) ANN training phase and (b) ANN validation phase. Note that the triangle, square, and circle marks represent case 7, case 8, and case 9, respectively, for the combination of the three-dimensional hydrodynamic model and ANN model.</div>

Mathematical Problems in Engineering

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Figure 8: Predicting the Water Level Fluctuation in an Alpine Lake Using Physically Based, Artificial Neural Network, and Time Series Forecasting Models 

Figure 8 | Predicting the Water Level Fluctuation in an Alpine Lake Using Physically Based, Artificial Neural Network, and Time Series Forecasting Models 