Prediction of the compressive strength of lightweight concrete containing industrial and waste steel fibers using a multilayer synthetic neural network

Advances in Bridge Engineering

Table 1 Neural network input data

Input parameter	Input data range
Input parameter	max	min
fine grain (P1) (kg/m3)	1230	685
fine grain (P2) (kg/m3)	931	0
Maximum diameter p3 coarse grain (mm)	20	0
Cement (P4) (kg/m3)	608	180
Water P5 (kg/m3)	320	158
Industrial steel fibers (P6) (ratio, %)	3	0/5
Waste steel fibers (P7) (ratio, %)	3	0/5
super lubricant (P8) (ratio, %)	12	4
Sample height (P9) (mm)	160	150
Sample length (P10) (mm)	150	40
sample width (P11) (mm)	106/07	28/28