Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks

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Main Authors: Prasad, Reddy, Krishnaiah, Duduku, Awang, Bono, Paulraj, Murugesa Pandiyan, Prof. Madya, Rosli, Mohd Yunus, Naveena Lakshmi
Other Authors: dmrprasad@ump.edu.my
Format: Article
Language:English
Published: Asian Network for Scientific Information 2011
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10465
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spelling my.unimap-104652011-01-12T07:01:09Z Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks Prasad, Reddy Krishnaiah, Duduku Awang, Bono Paulraj, Murugesa Pandiyan, Prof. Madya Rosli, Mohd Yunus Naveena Lakshmi dmrprasad@ump.edu.my Back propagation Carrageenan Neural networks Ultra sonic waves Link to publisher's homepage at www.ansinet.com/ The application of Artificial Neural Networks in chemical engineering field is being under immense research. One of the physical properties of every material has its own intensity to absorb the sound waves. Carrageenans are water-soluble gums, which occur in certain species of red seaweeds. They are sulfated natural polymers made up of galactose units. Carrageenan consists of a main chain of D-galactose residues linked alternately α - (1→3) and β - (1→4). The decibel frequency analyzer dbFA - 32 has been used for this analysis. The sound signals are captured using the hydrophone. The analog signals are then digitized at different octave frequencies. These are used to generate the frequency power spectrum. The change in the spectrum is proportional to the concentration of the material in the solution. The normalized data is used as a input to a feed forward neural network model. In this study, a simple scheme is proposed to estimate the amount of carrageenan present in a solution using under water acoustics and Artificial Neural Networks. This method is useful for the direct estimation of carrageenan in food, pharmaceutical and cosmetic industries. It can be useful for online measurement of compound in the industries. 2011-01-12T07:01:09Z 2011-01-12T07:01:09Z 2010 Article Journal of Applied Sciences, vol.10(21), 2010, pages 2729-2732 1812-5654 http://www.scialert.net/qredirect.php?doi=jas.2010.2729.2732&linkid=pdf http://hdl.handle.net/123456789/10465 en Asian Network for Scientific Information
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Back propagation
Carrageenan
Neural networks
Ultra sonic waves
spellingShingle Back propagation
Carrageenan
Neural networks
Ultra sonic waves
Prasad, Reddy
Krishnaiah, Duduku
Awang, Bono
Paulraj, Murugesa Pandiyan, Prof. Madya
Rosli, Mohd Yunus
Naveena Lakshmi
Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks
description Link to publisher's homepage at www.ansinet.com/
author2 dmrprasad@ump.edu.my
author_facet dmrprasad@ump.edu.my
Prasad, Reddy
Krishnaiah, Duduku
Awang, Bono
Paulraj, Murugesa Pandiyan, Prof. Madya
Rosli, Mohd Yunus
Naveena Lakshmi
format Article
author Prasad, Reddy
Krishnaiah, Duduku
Awang, Bono
Paulraj, Murugesa Pandiyan, Prof. Madya
Rosli, Mohd Yunus
Naveena Lakshmi
author_sort Prasad, Reddy
title Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks
title_short Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks
title_full Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks
title_fullStr Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks
title_full_unstemmed Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks
title_sort estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks
publisher Asian Network for Scientific Information
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10465
_version_ 1643789912298749952
score 13.214268