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

Table 4

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
0.0018	0.0003	0.9511	0.9961	2-3-1	PHPloss 7 day
0.0008	0.0003	0.9791	0.9955	3-3-1	PHPloss 14 day
0.0007	0.0002	0.9838	0.9998	4-4-1	PHPloss 28 day
0.0002	0.0001	0.9950	0.9999	5-4-1	PHPloss 56 day