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

Table 5

Summary of different quality assessment criteria for the best ANN-CG model.

	RMSE	MAE	Err. Mean	Err. Std	R	MAPE
Case 1: Max (R)
Training set	12.53	9.82	0.16	12.61	0.993	5.79
Testing set	17.92	13.30	0.77	18.19	0.993	6.47
Case 2: Min (RMSE)
Training set	14.73	10.90	−0.45	14.82	0.993	5.89
Testing set	14.02	11.24	0.12	14.24	0.992	6.84
Case 3: Min (MAE)
Training set	13.02	9.88	0.17	13.11	0.995	5.20
Testing set	15.49	10.60	−2.47	15.54	0.981	6.92
Case 4: Min (MAPE)
Training set	13.48	10.20	0.10	13.57	0.992	6.00
Testing set	26.49	15.41	−3.66	26.65	0.990	5.79