Research Article
Intelligent Noise Removal from EMG Signal Using Focused Time-Lagged Recurrent Neural Network
Table 16
Comparison of all the NN architectures on test dataset.
| NN model | Transfer function | Learning rule | Mean square error
MSE | Correlation coefficient r | Epochs | Time elapsed/ epoch/exemplar in microseconds | % error |
| MLP
(1-15-10-2) | Tanh | Momentum | 0.02501 (noise)
0.02482(EMG) | 0.78114 (noise) 0.58433 (EMG) | 1000 | 19.16 | 253 | FTLRNN
(1-27-2) | Linear | Momentum | 0.000067 (noise)
0.000048 (EMG) | 0.99950 (noise)
0.99939 (EMG) | 1000 | 14 | 10 | RBF (CC-05) | Linear | LM | 0.02470 (noise) 0.02482 (EMG) | 0.78414 (noise) 0.58509 (EMG) | 1000 | 8.3 | 293 |
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