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A neural network approach to predict the density of aqueous MEA solution

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Main Authors: Garg, Sahil, Shariff, Azmi Mohd, Shaikh, MS, Lal, Bhajan, Aftab, Asma, Faiqa, Nor
Format: Article
Published: 2015
Online Access:http://scholars.utp.edu.my/id/eprint/36167/
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spelling oai:scholars.utp.edu.my:361672023-04-17T06:58:56Z http://scholars.utp.edu.my/id/eprint/36167/ A neural network approach to predict the density of aqueous MEA solution Garg, Sahil Shariff, Azmi Mohd Shaikh, MS Lal, Bhajan Aftab, Asma Faiqa, Nor 2015 Article NonPeerReviewed Garg, Sahil and Shariff, Azmi Mohd and Shaikh, MS and Lal, Bhajan and Aftab, Asma and Faiqa, Nor (2015) A neural network approach to predict the density of aqueous MEA solution. Australian Journal of Basic and Applied Sciences, 9. pp. 415-422.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Garg, Sahil
Shariff, Azmi Mohd
Shaikh, MS
Lal, Bhajan
Aftab, Asma
Faiqa, Nor
spellingShingle Garg, Sahil
Shariff, Azmi Mohd
Shaikh, MS
Lal, Bhajan
Aftab, Asma
Faiqa, Nor
A neural network approach to predict the density of aqueous MEA solution
author_facet Garg, Sahil
Shariff, Azmi Mohd
Shaikh, MS
Lal, Bhajan
Aftab, Asma
Faiqa, Nor
author_sort Garg, Sahil
title A neural network approach to predict the density of aqueous MEA solution
title_short A neural network approach to predict the density of aqueous MEA solution
title_full A neural network approach to predict the density of aqueous MEA solution
title_fullStr A neural network approach to predict the density of aqueous MEA solution
title_full_unstemmed A neural network approach to predict the density of aqueous MEA solution
title_sort neural network approach to predict the density of aqueous mea solution
publishDate 2015
url http://scholars.utp.edu.my/id/eprint/36167/
_version_ 1765299400112865280
score 13.214268

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