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Artificial neural network for modeling the size of silver nanoparticles' prepared in montmorillonite/starch bionanocomposites

In this study, artificial neural network (ANN) was used to develop an approach for evaluation of silver nanoparticles (Ag–NPs) size in the bionanocomposites substrate. A multi-layer feed forward ANN was applied to correlate the output as size of Ag–NPs, with four inputs include of AgNO3 concentratio...

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Main Authors: Shabanzadeh, Parvaneh, Yusof, Rubiyah, Shameli, Kamyar
Format: Article
Published: Korean Society of Industrial Engineering Chemistry, Elsevier B.V. 2015
Subjects:
Q Science (General)
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/57893/
http://dx.doi.org/10.1016/j.jiec.2014.09.007
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spelling my.utm.578932021-08-05T01:35:34Z http://eprints.utm.my/id/eprint/57893/ Artificial neural network for modeling the size of silver nanoparticles' prepared in montmorillonite/starch bionanocomposites Shabanzadeh, Parvaneh Yusof, Rubiyah Shameli, Kamyar Q Science (General) TP Chemical technology In this study, artificial neural network (ANN) was used to develop an approach for evaluation of silver nanoparticles (Ag–NPs) size in the bionanocomposites substrate. A multi-layer feed forward ANN was applied to correlate the output as size of Ag–NPs, with four inputs include of AgNO3 concentration, temperature of reaction, weight percentage of starch, and MMT amount. The results of proposed methodology were compared for its predictive capabilities in terms of coefficient determination (R2) and mean square error (MSE) based on the validation data set. The model finding revealed that AgNO3 concentration content has significant effect on size of Ag–NPs. Korean Society of Industrial Engineering Chemistry, Elsevier B.V. 2015-04-25 Article PeerReviewed Shabanzadeh, Parvaneh and Yusof, Rubiyah and Shameli, Kamyar (2015) Artificial neural network for modeling the size of silver nanoparticles' prepared in montmorillonite/starch bionanocomposites. Journal of Industrial and Engineering Chemistry, 24 . pp. 42-50. ISSN 1226-086X http://dx.doi.org/10.1016/j.jiec.2014.09.007 DOI:10.1016/j.jiec.2014.09.007
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/
topic Q Science (General)
TP Chemical technology
spellingShingle Q Science (General)
TP Chemical technology
Shabanzadeh, Parvaneh
Yusof, Rubiyah
Shameli, Kamyar
Artificial neural network for modeling the size of silver nanoparticles' prepared in montmorillonite/starch bionanocomposites
description In this study, artificial neural network (ANN) was used to develop an approach for evaluation of silver nanoparticles (Ag–NPs) size in the bionanocomposites substrate. A multi-layer feed forward ANN was applied to correlate the output as size of Ag–NPs, with four inputs include of AgNO3 concentration, temperature of reaction, weight percentage of starch, and MMT amount. The results of proposed methodology were compared for its predictive capabilities in terms of coefficient determination (R2) and mean square error (MSE) based on the validation data set. The model finding revealed that AgNO3 concentration content has significant effect on size of Ag–NPs.
format Article
author Shabanzadeh, Parvaneh
Yusof, Rubiyah
Shameli, Kamyar
author_facet Shabanzadeh, Parvaneh
Yusof, Rubiyah
Shameli, Kamyar
author_sort Shabanzadeh, Parvaneh
title Artificial neural network for modeling the size of silver nanoparticles' prepared in montmorillonite/starch bionanocomposites
title_short Artificial neural network for modeling the size of silver nanoparticles' prepared in montmorillonite/starch bionanocomposites
title_full Artificial neural network for modeling the size of silver nanoparticles' prepared in montmorillonite/starch bionanocomposites
title_fullStr Artificial neural network for modeling the size of silver nanoparticles' prepared in montmorillonite/starch bionanocomposites
title_full_unstemmed Artificial neural network for modeling the size of silver nanoparticles' prepared in montmorillonite/starch bionanocomposites
title_sort artificial neural network for modeling the size of silver nanoparticles' prepared in montmorillonite/starch bionanocomposites
publisher Korean Society of Industrial Engineering Chemistry, Elsevier B.V.
publishDate 2015
url http://eprints.utm.my/id/eprint/57893/
http://dx.doi.org/10.1016/j.jiec.2014.09.007
_version_ 1707765834122788864
score 13.159267

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