Research Article
Prediction of Compressive Strength of Geopolymer Concrete Based on Support Vector Machine and Modified Cuckoo Algorithm
Table 7
Comparison of 28d compressive strength for different oxide proportion.
| Serial number | Oxide content (%) | Measured compressive strength value (MPa) | Traditional CSA predicted value (MPa) | Improved CSA predicted value (MPa) |
| 1 | SiO2 | 80.43 | 20 | 22.02 | 19.51 | Al2O3 | 14 | Fe2O3 | 3.57 | CaO | 0.04 |
| 2 | SiO2 | 36.02 | 34 | 30.24 | 35.96 | Al2O3 | 20.58 | Fe2O3 | 15.91 | CaO | 18.75 |
| 3 | SiO2 | 43.7 | 65 | 59.30 | 61.89 | Al2O3 | 21 | Fe2O3 | 22.5 | CaO | 4.85 |
| 4 | SiO2 | 48.21 | 66.1 | 61.03 | 64.57 | Al2O3 | 25.01 | Fe2O3 | 1.3 | CaO | 15.2 |
| 5 | SiO2 | 56.01 | 48.2 | 44.58 | 46.50 | Al2O3 | 29.8 | Fe2O3 | 3.58 | CaO | 2.36 |
| 6 | SiO2 | 50.5 | 69 | 75.23 | 66.68 | Al2O3 | 26.57 | Fe2O3 | 13.77 | CaO | 2.13 |
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