Research Article
Pulmonary Nodule Recognition Based on Multiple Kernel Learning Support Vector Machine-PSO
Table 3
Comparison of various indexes under different inertia weights.
| | Different inertial weight algorithm | Maximum of | Mean value of | Median value of
| The Euclidean norm of the global error vector | Convergence generation
number | The Euclidean norm of the normalized error vector after reaching the convergent generation number |
| | The constant is 1 | 93.6044% | 90.1465% | 63.3698% | 90.6721 | — | — | | (16) | 94.0279% | 93.6873% | 93.7169% | 8.4488 | 9 | 0.0294 | | (17) | 93.9941% | 93.2348% | 93.6419% | 28.2732 | 30 | 0.0348 | | (18) | 94.0290% | 93.2050% | 93.6719% | 31.5911 | 36 | 0.0320 | | (19) | 94.0044% | 93.2996% | 93.6618% | 27.2316 | 22 | 0.0324 | | (20) | 93.9926% | 93.2350% | 93.6206% | 28.1948 | 27 | 0.0341 |
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