Research Article
Prediction of Compressive Strength of Geopolymer Concrete Based on Support Vector Machine and Modified Cuckoo Algorithm
Table 6
Comparison of 7d compressive strength for different oxide proportions.
| Serial number | Oxide content(%) | Measured compressive strength value (MPa) | Traditional CSA predicted value (MPa) | Improved CSA predicted value (MPa) |
| 1 | SiO2 | 80.43 | 7 | 6.33 | 6.72 | Al2O3 | 14 | Fe2O3 | 3.57 | CaO | 0.04 |
| 2 | SiO2 | 36.02 | 17 | 18.78 | 16.10 | Al2O3 | 20.58 | Fe2O3 | 15.91 | CaO | 18.75 |
| 3 | SiO2 | 43.7 | 52 | 57.30 | 54.00 | Al2O3 | 21 | Fe2O3 | 22.5 | CaO | 4.85 |
| 4 | SiO2 | 48.21 | 11.2 | 9.92 | 10.52 | Al2O3 | 25.01 | Fe2O3 | 1.3 | CaO | 15.2 |
| 5 | SiO2 | 56.01 | 43.26 | 39.56 | 44.79 | Al2O3 | 29.8 | Fe2O3 | 3.58 | CaO | 2.36 |
| 6 | SiO2 | 50.5 | 66 | 60.44 | 68.85 | Al2O3 | 26.57 | Fe2O3 | 13.77 | CaO | 2.13 |
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