Neural network forecast model of arch dam pendulum
In this paper neural network is used to create forecast model of arch dam pendulum. The model is based on field data that includes pendulum, upstream level and air temperature measurements. Temperature data smoothing parameters have been determined during data preprocessing. Reservoir drainage has also been considered. Model hyperparameters have been tuned using crossvalidation. Neural network performance has been compared with performance of traditional linear regression model. Neural network with two hidden layers has shown the best accuracy.