Fig. 7
From: Data-driven approach to the deep learning of the dynamics of a non-integrable Hamiltonian system
Average values and standard deviations of the logarithmic error \(\log (k_{\text {pred}}/k_{\text {true}})\) across test sets for various combinations of the pair (N, L). A solid horizontal line at zero indicates perfect predictions (\(\text {predictions} = \text {true}\)). This figure provides insight into how the model’s prediction accuracy improves as the number of trajectories and sequence length vary.
