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

Table 9

Comparison of 28d predictive compressive strength for different oxide proportions.

Serial number	Oxide content (%)	Measured compressive strength value (MPa)	Relative error of traditional CSA prediction (%)	Improve the relative error of CSA prediction (%)
1	SiO2	80.43	20	10.12	2.44
	Al2O3	14
	Fe2O3	3.57
	CaO	0.04
2	SiO2	36.02	34	11.05	5.76
	Al2O3	20.58
	Fe2O3	15.91
	CaO	18.75
3	SiO2	43.7	65	8.77	4.78
	Al2O3	21
	Fe2O3	22.5
	CaO	4.85
4	SiO2	48.21	66.1	7.66	2.32
	Al2O3	25.01
	Fe2O3	1.3
	CaO	15.2
5	SiO2	56.01	48.2	7.52	3.53
	Al2O3	29.8
	Fe2O3	3.58
	CaO	2.36
6	SiO2	50.5	69	9.04	3.36
	Al2O3	26.57
	Fe2O3	13.77
	CaO	2.13