Fig. 3From: A hybrid RNN-GPOD surrogate model for real-time settlement predictions in mechanised tunnellingRecurrent neural network. Prediction of settlements \(^{[n]}s_1\) to \(^{[n]}s_K\) (at K monitoring points) in time step [n] influenced by the input parameters \(^{[n]}x_1\) to \(^{[n]}x_J\) of time step [n] and prior values of the input parameters [of time steps (1,...,n)] considered by context neuronsBack to article page