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

Table 6

The parameter format used in the ANN models.

Parameters		Number
		1	2	3	4	5	6	7	8	…	18	19	20	…	108	109	110	…	756
Input	WB	0.8	0.8	0.8	0.8	0.8	0.8	0.8	0.8	…	0.8	0.7	0.7	…	0.43	0.8	0.8	…	0.43
	PR	0	10	20	30	40	50	0	10	…	50	0	10	…	50	0	10	…	50
	PS	6.3	6.3	6.3	6.3	6.3	6.3	13.6	13.6	…	22.2	6.3	6.3	…	22.2	6.3	6.3	…	22.2
	AC	3	3	3	3	3	3	3	3	…	3	3	3	…	3	7	7	…	180
Output	CS	11.4	11.3	10.5	10	9.6	7.3	11.4	9.9	…	4.6	14.3	14.4	…	16.5	14.7	14.9	…	44.2