Research Article

Prediction of Compressive Strength of Geopolymer Concrete Based on Support Vector Machine and Modified Cuckoo Algorithm

Table 8

Comparison of 7d compressive strength relative error for different oxide proportions.

Serial numberOxide content (%)Measured compressive strength value (MPa)Relative error of traditional CSA prediction (%)Improve the relative error of CSA prediction (%)

1SiO280.4379.014.03
Al2O314
Fe2O33.57
CaO0.04

2SiO236.021710.475.32
Al2O320.58
Fe2O315.91
CaO18.75

3SiO243.75210.23.86
Al2O321
Fe2O322.5
CaO4.85

4SiO248.2111.211.46.06
Al2O325.01
Fe2O31.3
CaO15.2

5SiO256.0143.268.553.54
Al2O329.8
Fe2O33.58
CaO2.36

6SiO250.5668.424.32
Al2O326.57
Fe2O313.77
CaO2.13