Predicting Shear Strength in FRP-Reinforced Concrete Beams Using Bat Algorithm-Based Artificial Neural Network

Table 1

Statistical characteristics of the data [21].

Statistical index	Type	Max	Min	Average	STD
f'c (MPa)	Input	88.30	22.70	40.97	11.95
ρf (%)	Input	3.02	0.18	1.06	0.60
Ef (GPa)	Input	192.00	23.20	59.00	43.06
a/d	Input	8.44	1.00	3.24	1.37
bw (mm)	Input	1000.00	114.00	283.81	198.98
d (mm)	Input	1097.00	141.00	338.95	221.22
Vcf (kN)	Output	953.00	13.97	100.76	129.78