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http://dx.doi.org/10.5391/JKIIS.2013.23.5.431

Classification of Aroma Using Neural Network  

Kim, Yong Soo (Dept. of Computer Engineering, Daejeon University)
Kim, Han-Soo (Dept. of Environmental Engineering, Daejeon University)
Kim, Sun-Tae (Dept. of Environmental Engineering, Daejeon University)
Lim, Mi-Hye (Dept. of Beauty Healthcare, Daejeon University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.23, no.5, 2013 , pp. 431-435 More about this Journal
Abstract
Aroma has been used for healing for a long time. The healing effects depend on aroma used. We made gas sensor array system to classify aromas systematically. We used outputs of sensors as the input to IAFC neural network. Results show that the neural network successfully classified jasmine, orange, roman chamomile, and lavender into 4 classes, and classified without any error.
Keywords
Aroma Classification; Gas Sensor Array System; IAFC Neural Network; Electronic Nose;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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