Table 5 Burgers’ problem: hyperparameters for the CNN network

Sequence length (\(n_t\))

5, 10, 20

CNN block channels

[50, 50], [100, 100], [200, 200]

Latent dimension (m)

12,25,50

Kernel size (k)

3, 5, 7, 9

Activation

tanh

Loss function

MSE

Learning rate

\(1 \times 10^{-4}\)

Max model parameters (\(n_t = 10\), \(m = 50\))

370,001

Min model parameters (\(n_t = 10\), \(m = 50\))

25,001