Table 2.
Parameters of sparse autoencoder training in the DL-Pro algorithm used in the experiments.
| Parameter | Value |
|---|---|
| Sparsity | 0.1 |
| Weight decay λ | 3e-3 |
| Weight of sparsity penalty β | 3 |
| Maximum number of iterations | 500 |
| Optimization method | ‘lbfgs’ |
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