Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/75918
Type: Artigo de periódico
Title: A hybrid approach with artificial neural networks, Levenberg-Marquardt and simulated annealing methods for the solution of gas-liquid adsorption inverse problems
Author: Lugon, J
Silva Neto, AJ
Santana, CC
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.
Subject: artificial neural networks (ANN)
Levenberg-Marquardt (LM)
simulated annealing (SA)
adsorption isotherm
bubble and foam columns
Country: Inglaterra
Editor: Taylor & Francis Ltd
Citation: Inverse Problems In Science And Engineering. Taylor & Francis Ltd, v. 17, n. 1, n. 85, n. 96, 2009.
Rights: fechado
Identifier DOI: 10.1080/17415970802082922
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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