On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams

Table 1

Summary of the input and output variables of deep beams used in this study.

	Notation	Unit	Min	Median	Average	Max	Std^a	SK^b
Ratio of effective span to effective depth	L/d	—	1.05	3.08	2.88	5.38	1.12	0.08
Ratio of effective depth to breadth	d/bw	—	2.84	2.99	4.44	10.03	2.24	1.49
Ratio of shear span to effective depth	a/d	—	0.27	1.00	1.01	2.70	0.049	0.40
Concrete cylinder strength	fc	10^−1 x kN/mm^2	0.16	0.21	0.26	0.59	0.11	16.91
Yield strength of horizontal reinforcement	fyh	kN/mm^2	0.00	0.48	0.40	0.50	0.15	−1.60
Yield strength of vertical web reinforcement	fyv	kN/mm^2	0.00	0.38	0.35	0.48	0.18	−1.11
Ratio of horizontal web reinforcement	ρh	10^–2	0.00	0.45	0.49	2.45	0.56	193.12
Ratio of longitudinal reinforcement to concrete area	ρs	—	0.00	0.01	0.01	0.02	0.00	−0.48
Ratio of vertical web reinforcement	ρv	10^–2	0.00	0.48	0.51	2.45	0.54	213.04
Shear strength	V	kN	74.00	161.00	203.58	675.00	121.93	2.20

^aStandard deviation. ^bSkewness.