Research Article
EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation
Table 1
DLN parameter settings.
| Parameters | Value |
| Maximum iterations: SAE learning | 400 | Maximum iterations: softmax learning | 100 | Maximum iterations: fine-tuning | 200 | Hidden layer size | 100, 50 | Sparsity parameter ( | 0.10 | Weight of sparsity penalty (β) | 3.0 | Weight decay parameter (): SAE learning | | Weight decay parameter (): softmax learning | | Weight decay parameter (): fine-tuning | |
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