Table 5 Evaluation of the learning times and the testing accuracies among algorithms using RBFN with 10 principle components
From: Robust algorithm for arrhythmia classification in ECG using extreme learning machine
The number of hidden neurons | 200 | 400 | 600 | 800 | 1000 | 1200 | 1400 | 1600 | 1800 | 2000 |
|---|---|---|---|---|---|---|---|---|---|---|
Training time (seconds) | 46.03 | 220.78 | 290.30 | 392.64 | 461.19 | 852.83 | 972.56 | 1426.38 | 1208.97 | 2008.20 |
Testing accuracy (%) | 86.00 | 87.81 | 88.61 | 88.24 | 87.40 | 89.16 | 89.36 | 89.31 | 89.21 | 89.37 |