Applicability of Artificial Neural Networks to Predict Mechanical and Permeability Properties of Volcanic Scoria-Based Concrete

Table 3

Results obtained for ANN models.

Model	Training				Testing				Validating
	R^2	RMSE	MAPE	DW	R^2	RMSE	MAPE	DW	R^2	RMSE	MAPE	DW
ANN1	0.9999	0.3066	1.2106	1.7605	0.9998	0.3931	1.5470	1.9505	0.9998	0.3899	1.7307	1.6328
ANN2	0.9995	1.9783	2.6357	1.7003	0.9990	2.4439	4.8220	1.8094	0.9981	4.3322	4.7976	1.7467
ANN3	0.9998	0.3129	1.4998	1.5035	0.9997	0.4050	2.0528	1.9018	0.9995	0.4859	2.6921	1.6489

ANN1: compressive strength; ANN2: water permeability; ANN3: concrete porosity.