An Intelligent Deep Learning Model for Adsorption Prediction

Table 3

Hidden layers’ number against the mean square error and the correlation factors for different models, where the adsorption parameters (pressure and temperature) are selected using the Bayesian ordered function with the least mean square error values.

Model	Mean square error	Correlation	Epoch	Hidden layer number	Optimal number of neurons
Machine learning	0.000053	0.9898	62	[20]	25
Bayesian	0.000047	0.9798	100	[15]	65