Table 10 Stoker’s problem: hyperparameters for the CNN model

Sequence length (\(n_t\))

5, 10, 20

CNN block channels

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

Latent dimension (m)

25, 50, 125

Kernel size (k)

3, 5, 7, 9

Activation

tanh

Loss function

MSE

Learning rate

\(3 \times 10^{-4}\)

Max model parameters (\(n_t = 20\), \(m = 125\))

618,804

Min model parameters (\(n_t = 20\), \(m = 125\))

42,204