Research Article | OPEN ACCESS
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
School of Automation Engineering, Northeast Dianli University, Jilin 132012, P.R. China
Advance Journal of Food Science and Technology 2013 4:469-473
Received: December 17, 2012 | Accepted: January 25, 2013 | Published: 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.
Keywords:
Artificial fish swarm algorithm, cluster algorithm, edible oil, electronic tongue,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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