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    Abstract
2013 (Vol. 5, Issue: 04)
Article Information:

Application of Electronic Tongue in Edible Oil Detection with Cluster Algorithm based on Artificial Fish Swarm Improvement

Hong Men, Caiwa Zhang, Pingyan Zhang and Honghui Gao
Corresponding Author:  Hong Men 

Key words:  Artificial fish swarm algorithm, cluster algorithm, edible oil, electronic tongue, , ,
Vol. 5 , (04): 469-473
Submitted Accepted Published
December 17, 2012 January 25, 2013 April 15, 2013
Abstract:

Methods for edible oil quality detection mainly have conductivity and peroxide acid value, but as for currently blending edible detection, the effect of these methods is not satisfied. In this study, we propose a cluster algorithm based on artificial fish swarm improvement to detect edible oil by voltammetric electronic tongue. It can optimize the cluster centers value and the initial value. The results show that this is significant to classification and detection of edible oil using the artificial fish swarm cluster algorithm in voltammetric electronic tongue system.
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  Cite this Reference:
Hong Men, Caiwa Zhang, Pingyan Zhang and Honghui Gao, 2013. Application of Electronic Tongue in Edible Oil Detection with Cluster Algorithm based on Artificial Fish Swarm Improvement.  Advance Journal of Food Science and Technology, 5(04): 469-473.
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ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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