Research Article
A Hybrid DE-RGSO-ELM for Brain Tumor Tissue Categorization in 3D Magnetic Resonance Images
Table 11
Comparison result of ELM and IELM-PSO on SPL analysis.
| Model | GA-ELM [33] | GA-IELM-PSO [28] | Proposed DE-ELM-RGSO |
| Norm | 432.56 | 185.34 | 120.96 | Condition | | | | MSE error | 0.966 | 0.991 | 0.932 | Training efficiency % | | | | Mean | 92.92 | 97.42 | 98.26 | STD | 6.05 | 5.92 | 6.25 | Testing efficiency % | | | | Mean | 91.27 | 96.85 | 97.12 | STD | 6.89 | 5.45 | 5.76 | Hidden neurons | 27 | 5 | 5 | Accuracy % | 92.8 | 97.14 | 98.29 | Time | | | | Min. | 3 | 3.5 | 3 |
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