A hybrid approach with artificial neural networks, Levenberg–Marquardt and simulated annealing methods for the solution of gas–liquid adsorption inverse problems

Abstract

In the present work the inverse problem of gas–liquid interface adsorption isotherm identification is investigated using a combination of an artificial neural network (ANN), and the Levenberg–Marquardt (LM) and the simulated annealing (SA) methods.