Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第45回ISCIE「確率システム理論と応用」国際シンポジウム(2013年11月, 沖縄)
Odor Measurement and Classification Using Metal Oxide Semiconductor Gas Sensors
Daigo HayashiSigeru OmatuHideo Araki
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2014 年 2014 巻 p. 331-336

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Measurement of an odor has been performed by using metal oxide semiconductor gas sensors. The principle of semiconductor sensor is to measure the voltage difference due to resistance variations. In this paper, the learning of a neural network is performed using the measurement data. After learning, the odor classification is performed on a test data set.
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© 2014 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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