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Table 1.
Parameters used for the first SOM training run.
| SOM lattice dimensions (w × h × d) | 10 × 10 × 1 |
| Number of channels or layers | 1 |
| Representative image dimensions | 67 × 67 pixels2, equivalent to 100 × 100 arcsec2 |
| Neighbourhood radius start σ0 | decrease σd | 5 | 0.9 |
| Learning rate start α0 | decrease αd | 1 | 0.7 |
| Periodic boundary conditions | True |
| Stopping condition | AQE improvement per epoch <1% |
| Resulting number of training epochs | 23 |
| Initialisation | Zeros |
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