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

Table 8

Statistical indices of the different models.

Topology	Train				Test				All
	MAE	RMSE	AAE	VAF (%)	MAE	RMSE	AAE	VAF (%)	MAE	RMSE	AAE	VAF (%)
ANN-bat 2L (12-5)	8.79	12.99	0.15	0.99	23.60	43.99	0.22	0.90	13.24	26.43	0.17	0.96
ANN-GA 2L (7-3)	18.05	46.48	0.26	0.87	17.67	31.30	0.24	0.95	17.93	42.50	0.26	0.89
ANN-PSO 2L (9-3)	23.36	40.01	0.32	0.90	17.35	25.80	0.27	0.97	21.56	36.34	0.30	0.92
Nehdi et al.	43.39	59.12	0.54	0.86	39.60	50.62	0.48	0.90	42.26	56.70	0.53	0.87
ACI 440	58.41	125.05	0.55	0.24	69.39	140.58	0.53	0.18	61.70	129.90	0.54	0.22
BISC-99	46.25	118.41	0.38	0.26	57.58	133.10	0.38	0.20	49.65	123.00	0.38	0.24