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

Table 5

Training data.

Training data serial numbers	Oxide content (%)		Compressive strength (MPa)
			7d	28 d
1	SiO2	48.21	11.2	66.1
	Al2O3	25.01
	Fe2O3	1.3
	CaO	15.2
2	SiO2	51.11	38	48
	Al2O3	25.56
	Fe2O3	12.48
	CaO	4.3
3	SiO2	60.02	25	37
	Al2O3	24.61
	Fe2O3	8.56
	CaO	0.15
4	SiO2	49.37	9.7	26.7
	Al2O3	29.23
	Fe2O3	2.71
	CaO	6.63
5	SiO2	56.01	43.26	48.2
	Al2O3	29.8
	Fe2O3	3.58
	CaO	2.36
6	SiO2	65.77	16	18
	Al2O3	26.72
	Fe2O3	1.32
	CaO	0.05
7	SiO2	63.18	17	15
	Al2O3	25.22
	Fe2O3	3.36
	CaO	0.07
8	SiO2	73.05	7	21
	Al2O3	23.22
	Fe2O3	0.89
	CaO	0.07
9	SiO2	80.43	7	20
	Al2O3	14
	Fe2O3	3.57
	CaO	0.04
10	SiO2	36.02	17	34
	Al2O3	20.58
	Fe2O3	15.91
	CaO	18.75