Grey Wolf Optimizer-Based ANNs to Predict the Compressive Strength of Self-Compacting Concrete

Table 5

Statistical indexes of the top 10 models in the neural networks on testing data.

Network designation	ME	MAE	MSE	RMSE	AAE	EF	VAF (%)
ANN-GWO (7-13)	−0.47	3.43	27.10	5.206	0.07	0.94	0.94
ANN-GWO (12-4)	−0.38	4.66	44.88	6.699	0.09	0.90	0.90
ANN-GWO (9-6)	−0.42	3.33	22.16	4.708	0.06	0.95	0.95
ANN-GWO (8-3)	0.18	3.37	27.65	5.258	0.06	0.94	0.94
ANN-GWO (7-3)	0.25	4.89	41.75	6.462	0.09	0.90	0.90
ANN-GWO (11-4)	−0.57	4.63	38.49	6.204	0.09	0.91	0.91
ANN-GWO (7-2)	0.43	4.63	41.33	6.429	0.09	0.91	0.90
ANN-GWO (7-5)	0.83	5.97	78.57	8.864	0.11	0.82	0.82
ANN-GWO (11-9)	0.27	5.15	47.22	6.871	0.09	0.89	0.89
ANN-GWO (12-12)	−1.28	5.17	53.29	7.30	0.09	0.88	0.88