Table 2 Performance comparison for the Heart problem
From: An incremental learning algorithm for the hybrid RBF-BP network classifier
Method | N H neurons | Training time(s) | Training η o | Testing η o | Testing η a |
|---|---|---|---|---|---|
SGBP | 7 | 0.95 | 95.01 | 46.09 | 48.42 |
KM-RBF | 7 | 0.78 | 82.19 | 75.22 | 75.30 |
SVM | 39a | 0.08 | 100 | 77.39 | 81.81 |
ELM | 10 | 0 | 87.67 | 77.83 | 77.66 |
ILRBF-BP | 11 and 5b | 0.66 | 91.78 | 80.43 | 80.07 |