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Estimation of fatty acid composition using PLS based model

Given sufficiently rich and appropriate pre-treated data, Partial Least Square (PLS) models are able to accurately represent process dynamics. However, when applied to a fatty acid distillation process over broader ranges of operating conditions, the model was found not adequate. To incorporate nonl...

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Main Authors: Ahmad, A., Piang, L. W.
Format: Article
Language:English
Published: Faculty of Chemical and Natural Resources Engineering,Universiti Teknologi Malaysia 2008
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/12239/1/AAhmad_EstimationofFattyAcidCompositionUsingPLS2008.pdf
http://eprints.utm.my/id/eprint/12239/
http://www.cheme.utm.my/cheme/index.php/journal-articles
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spelling my.utm.122392017-10-08T05:02:51Z http://eprints.utm.my/id/eprint/12239/ Estimation of fatty acid composition using PLS based model Ahmad, A. Piang, L. W. TP Chemical technology Given sufficiently rich and appropriate pre-treated data, Partial Least Square (PLS) models are able to accurately represent process dynamics. However, when applied to a fatty acid distillation process over broader ranges of operating conditions, the model was found not adequate. To incorporate nonlinear estimation feature, neural networks were incorporated to form Neural Network (NNPLS) and a further modified method known as Nested NNPLS. The results obtained proved that the Nest-NNPLS model provided the best estimation capability and should therefore be developed further as a potential candidate for on-line estimation of chemical product composition. Faculty of Chemical and Natural Resources Engineering,Universiti Teknologi Malaysia 2008-10 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/12239/1/AAhmad_EstimationofFattyAcidCompositionUsingPLS2008.pdf Ahmad, A. and Piang, L. W. (2008) Estimation of fatty acid composition using PLS based model. Journal of Chemical & Natural Resources Engineering, 2 . pp. 59-71. ISSN 1823-5255 http://www.cheme.utm.my/cheme/index.php/journal-articles
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Ahmad, A.
Piang, L. W.
Estimation of fatty acid composition using PLS based model
description Given sufficiently rich and appropriate pre-treated data, Partial Least Square (PLS) models are able to accurately represent process dynamics. However, when applied to a fatty acid distillation process over broader ranges of operating conditions, the model was found not adequate. To incorporate nonlinear estimation feature, neural networks were incorporated to form Neural Network (NNPLS) and a further modified method known as Nested NNPLS. The results obtained proved that the Nest-NNPLS model provided the best estimation capability and should therefore be developed further as a potential candidate for on-line estimation of chemical product composition.
format Article
author Ahmad, A.
Piang, L. W.
author_facet Ahmad, A.
Piang, L. W.
author_sort Ahmad, A.
title Estimation of fatty acid composition using PLS based model
title_short Estimation of fatty acid composition using PLS based model
title_full Estimation of fatty acid composition using PLS based model
title_fullStr Estimation of fatty acid composition using PLS based model
title_full_unstemmed Estimation of fatty acid composition using PLS based model
title_sort estimation of fatty acid composition using pls based model
publisher Faculty of Chemical and Natural Resources Engineering,Universiti Teknologi Malaysia
publishDate 2008
url http://eprints.utm.my/id/eprint/12239/1/AAhmad_EstimationofFattyAcidCompositionUsingPLS2008.pdf
http://eprints.utm.my/id/eprint/12239/
http://www.cheme.utm.my/cheme/index.php/journal-articles
_version_ 1643645898306093056
score 13.211869

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