Research Article
Multipose Face Recognition-Based Combined Adaptive Deep Learning Vector Quantization
Table 1
Five parameter sets (PS) for the combined ADLVQ classifier.
| ā | Parameter sets (PS) | PS1 | PS2 | PS3 | PS4 | PS5 |
| No. of iteration | 100 | 200 | 300 | 400 | 500 | Initial momentum | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | Final momentum | 0.7 | 0.8 | 0.9 | 0.8 | 0.9 | Weighted cost | 0.001 | 0.002 | 0.003 | 0.004 | 0.005 | Learning rate | 0.01 | 0.02 | 0.03 | 0.1 | 0.2 |
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