Prediction of Mechanical Strength by Using an Artificial Neural Network and Random Forest Algorithm

Table 8

Input and output specification for the model development.

Input data		Minimum	Maximum
Fly ash (kg/m^3)		405	101.25
GGBFS (kg/m^3)		0	303.75
Extra water (kg/m^3)		0	121.5
Slump (mm)		0	190
Density (kg/m^3)		2406	2506
Coarse aggregate (kg/m^3)		1269	1269
Fine aggregate (kg/m^3)		683	683
NaOH solution (kg/m^3)		81	81
Sodium silicate (kg/m^3)		81	81
Superplasticiser (kg/m^3)		4.05	4.05
Output data
Compressive strength (MPa)	7 days	16.2	24.4
	14 days	18.1	29.1
	28 days	19.9	32.1
	42 days	20.3	32.6
	56 days	20.8	32.9
Splitting tensile (MPa)	7 days	1.9	2.9
	14 days	2.2	3.8
	28 days	2.8	4.6
	42 days	2.9	4.7
	56 days	3	4.8
Flexural strength (MPa)	7 days	2.1	3.1
	14 days	2.4	4
	28 days	3	5
	42 days	3.2	5.2
	56 days	3.3	5.3