Prediction of Compressive Strength Behavior of Ground Bottom Ash Concrete by an Artificial Neural Network

Table 5

Range values and numerable parameters of experiment and prediction.

Input and output parameters	Values			Numbers
	Minimum	Increment	Maximum	Experiment	Prediction
Water-to-binder ratio, WB	0.43	0.01	0.8	6	38
Percent replacement, PR (%)	0	2	50	6	26
Median particle size, PS (μm)	6.3	0.3	2.22	3	54
Age of concrete, AC (days)	3	3	180	7	60
Compressive strength, CS (MPa)	51	—	75.6	756	3,201,120