Skip to Main Content
 |  Register
Advanced search
Publication Cover
Journal Inverse Problems in Science and Engineering Volume 17, 2009 - Issue 1: Inverse Problems, Design and Optimization (IPDO2007) Symposium, Miami Beach, Florida, USA, April 16–18, 2007
Submit an article Journal homepage
104
Views
7
CrossRef citations to date
Altmetric

Original Articles

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

Jader Lugon Jr Center for Environmental Technology, Diretoria de Inovação e Meio Ambiente, Federação das Indústrias do Rio de Janeiro , Sistema FIRJAN, Rio de Janeiro, RJ, Brazil ; Department of Higher Education and Research , Unidade de Ensino Descentralizada de Cabo Frio , UNED Cabo Frio Centro Federal de Educação Tecnólogica de Campos, CEFET Campos, Cabo Frio, RJ, Brazil , Antônio J. Silva Neto Department of Mechanical Engineering and Energy , Instituto Politécnico, IPRJ, Universidade do Estado do Rio de Janeiro , UERJ, Nova Friburgo, RJ, Brazil Correspondenceajsneto@iprj.uerj.br
 & César Costapinto Santana School of Chemical Engineering, Universidade Estadual de Campinas , UNICAMP, Campinas, SP, Brazil
Pages 85-96
Received 16 Apr 2007
Accepted 30 Nov 2007
Published online: 27 Nov 2008
 
Translator disclaimer

Original Articles

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.

Keywords: artificial neural networks (ANN), Levenberg–Marquardt (LM), simulated annealing (SA), adsorption isotherm, bubble and foam columns

Acknowledgements

The authors acknowledge the financial support provided by CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico, FAPERJ, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, and CAPES, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior.

Article Metrics

Views
104
Citations
Crossref 7 Web of Science 10 Scopus 11
Altmetric
Article metrics information
Disclaimer for citing articles
 
Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days
Reach more readers
Electronic Banner Advert for the All Life journal