Research Article
An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel
Table 7
Performance comparison of deferent algorithms in multiclass datasets.
| Datasets | Algorithms | Gauss KELM | Poly KELM | Gau-H KELM | Tri-H, KELM | Tri-H SVM | Testing rate (%) | Training time (s) | Testing rate (%) | Training time (s) | Testing rate (%) | Training time (s) | Testing rate (%) | Training time (s) | Testing rate (%) | Training time (s) |
| Iris () | 98 () | 0.0005 | 97 () | 0.0012 | 98 () | 0.0038 | 98 () | 0.0007 | 96 () | 0.073 | Glass () | 77.78 () | 0.0026 | 72.22 () | 0.004 | 73.61 () | 0.0036 | 76.37 () | 0.0031 | 74.58 () | 4.54 | Wine () | 80 () | 0.0012 | 96.67 () | 0.0046 | 97 () | 0.0048 | 97.48 () | 0.0025 | 96.44 () | 1.41 | Vehicle () | 80.5 () | 0.0163 | 81.21 () | 0.0076 | 82.62 () | 0.0206 | 82.62 () | 0.064 | 81.58 () | 1.82 | Segment () | 87.4 () | 0.2002 | 88.44 () | 0.0834 | 87.27 () | 0.4636 | 88.68 () | 0.5265 | 87.51 () | 14.65 | Waveform () | 86.75 () | 0.0361 | 84.25 () | 0.0254 | 86.25 () | 0.0438 | 87.04 () | 0.1266 | 85.33 () | 2.87 |
|
|