Application of Electronic Tongue in Edible Oil Detection with Cluster Algorithm based on Artificial Fish Swarm Improvement
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چکیده
منابع مشابه
Application of Electronic Tongue in Edible Oil Detection with Cluster Algorithm based on Artificial Fish Swarm Improvement
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. Th...
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Community structure identification in complex networks has been an important research topic in recent years. Community detection can be viewed as an optimization problem in which an objective quality function that captures the intuition of a community as a group of nodes with better internal connectivity than external connectivity is chosen to be optimized. In this work Artificial Fish Swarm op...
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A voltammetric electronic tongue to classify five different types of edible oil samples is described in this study. The standard three-electrode configuration composes the sensor array: gold electrode, platinum electrode and saturated calomel electrode. Using cyclic voltammetric measurement, respectively, on five different types of edible oil samples (peanut oil, corn oil, soybean oil, sesame o...
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ژورنال
عنوان ژورنال: Advance Journal of Food Science and Technology
سال: 2013
ISSN: 2042-4868,2042-4876
DOI: 10.19026/ajfst.5.3293