Hyper-parameters

Table 1 includes the DMD autoencoder network hyperparameters. The most important hyperparamters to adjust are the initial learning rate and learning scheduling.

Table 2 includes the loss coefficients used to train DMD autoencoder network. The corresponding coefficients relate to equation (8), (9), (10), and (11).

Table 3 includes the parameters used to create the datasets. The code to generate the data is under data/Data.py.