Ann-based hybrid modeling of multicomponent competing adsorption during CO2 removal from gas mixtures

The dataset supports the paper entitled "Ann-based hybrid modeling of multicomponent competing adsorption during CO2 removal from gas mixtures" by K. Bizon, M. Gunia and M. Prończuk (doi: 10.3303/CET25119067) and it contains:
- two numerical Matlab functions (netN2.m and netCO2.m files) permiting to predict via trained ANN networks (with 15 neurons and tangsig activation function in the hidden layer) N2 and CO2 adsorption isotherms from multicomponent mixture on zeolite 5A; the functions were autogenerated using Neural Fitting app and they require as an Input: a vector of: p_CO2 p_N2 T_ads, where pressures are given in bar, temperature is given in Kelvin, and give the Output: adsorbed amount of N2 adn CO2, respectively, given in mol/kg.