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Table 1 The hyper-parameters of the model and their corresponding values

From: MCGNet+: an improved motor imagery classification based on cosine similarity

Hyperparameter

Value

Learning rate

9.6e–4

Learning rate decay

0

Dropout rate

0.5

Optimizer

Adam

L1, L2 regularization

0.002, 0.001

Training epochs

500

Batchsize

32

Chebyshev polynomial

2