Predicting the Impact of Multiwalled Carbon Nanotubes on the Cement Hydration Products and Durability of Cementitious Matrix Using Artificial Neural Network Modeling Technique

Table 3

The results of PHP_loss modeling method based on artificial neural networks.

RMSE		EC		Network model	Type
Verification phase	Calibration phase	Verification phase	Calibration phase
0.0031	0.0015	0.9557	0.9981	2-3-1	PHPloss 7 day
0.0018	0.0018	0.9724	0.9942	3-3-1	PHPloss 14 day
0.0031	0.0004	0.9842	0.9996	4-4-1	PHPloss 28 day
0.0013	0.0010	0.9937	0.9966	5-4-1	PHPloss 56 day