Research Article
Deep Learning Methods for Underwater Target Feature Extraction and Recognition
Table 4
Comparison of classification effects of different features.
| Feature types | Number of hidden layer neurons | ELM activated functions | Recognition rates (%) |
| MFCC | 40 | Sigmoid | 84.64 | 60 | Sigmoid | 84.48 | 80 | Sigmoid | 84.41 | 60 | tanh | 82.39 |
| HHT | 40 | Sigmoid | 81.06 | 60 | Sigmoid | 82.34 | 40 | tanh | 81.72 | 60 | tanh | 82.04 |
| Deep learning feature | 40 | Sigmoid | 90.39 | 60 | Sigmoid | 92.69 | 20 | tanh | 92.40 | 40 | tanh | 93.04 | 60 | tanh | 92.29 |
|
|