Research Article
Feature Selection and Classifier Parameters Estimation for EEG Signals Peak Detection Using Particle Swarm Optimization
Table 13
Training results: the optimal decision threshold values of 10 runs using RA-PSO.
| Run | Optimal threshold values using RA-PSO | th1 | th2 | th3 | th4 | th5 | th6 | th7 | th8 | th9 | th10 | th11 | th12 | th13-th14 |
| #1 | — | — | — | — | 9.20 | — | — | 4 | — | — | — | — | — | #2 | — | — | — | — | 9.21 | — | — | — | — | — | — | 0.6 | — | #3 | — | — | — | 0.38 | 9.21 | — | — | — | — | — | — | — | — | #4 | — | — | — | 0.22 | 9.20 | — | — | — | — | — | — | — | — | #5 | — | — | — | — | 9.20 | — | — | 4 | — | — | — | — | — | #6 | — | 0.36 | — | — | 9.04 | — | — | — | — | — | — | — | — | #7 | — | 0.39 | — | — | 9.22 | — | — | — | — | — | — | — | — | #8 | — | — | — | 0.25 | 9.20 | — | — | — | — | — | — | — | — | #9 | — | 0.27 | — | — | 9.19 | — | — | — | — | — | — | — | — | #10 | — | — | — | — | 9.20 | — | — | 4 | — | — | — | — | — |
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