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

DOI10.1080/17415970802082922zbMath1157.76052OpenAlexW2040496028MaRDI QIDQ143776

Jader Lugon, César Costapinto Santana, Antônio J. Silva Neto

Publication date: 27 November 2008

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415970802082922

zbMATH Keywords

bubblefoamadsorption isotherm

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Finite difference methods applied to problems in fluid mechanics (76M20) Liquid-gas two-phase flows, bubbly flows (76T10)

Related Items (5)

Inverse analysis for rock mechanics based on a high dimensional model representation ⋮ Application of inverse method to predict the breakthrough curve in fixed-bed adsorption ⋮ A pre-regularization scheme for the reconstruction of a spatial dependent scattering albedo using a hybrid ant colony optimization implementation ⋮ gripp ⋮ Accelerated Direct-Problem Solution: A Complementary Method for Computational Time Reduction

Uses Software

• Neural Network Toolbox
• Flood

Cites Work

• An Algorithm for Least-Squares Estimation of Nonlinear Parameters

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