Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks
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Asian Network for Scientific Information
2011
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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 |
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Back propagation Carrageenan Neural networks Ultra sonic waves |
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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 |
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Link to publisher's homepage at www.ansinet.com/ |
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dmrprasad@ump.edu.my |
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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 |
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2011 |
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http://dspace.unimap.edu.my/xmlui/handle/123456789/10465 |
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1643789912298749952 |
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13.214268 |