MISC

査読有り
2016年

Smells Classification for Human Breath Using a Layered Neural Network

DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, (DCAI 2016)
  • Sigeru Omatu
  • ,
  • Mitsuaki Yano

474
開始ページ
107
終了ページ
114
記述言語
英語
掲載種別
DOI
10.1007/978-3-319-40162-1_12
出版者・発行元
SPRINGER INT PUBLISHING AG

Progress of sensor technology enables us to measure smells although it is based on chemical reactions. We have developed the smell classification for various subjects using layered neural networks by training a special smell. But we must learn many smells by repeating the same process and it is endless jobs since too many smells exist in the world. In case of a breath smell, several molecules are mixed. Therefore, if we can train basic components of the breath and mixtures are estimated by combining the basic components which consist the breath, it is preferable. In this paper, we develop mixed smell classification after training a neural network for each component by using a genetic algorithm to find a reduction factor from the measurement data which show the maximum value of the output of a layered neural network.

リンク情報
DOI
https://doi.org/10.1007/978-3-319-40162-1_12
DBLP
https://dblp.uni-trier.de/rec/conf/dcai/OmatuY16
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000387181500012&DestApp=WOS_CPL
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84975507670&origin=inward
URL
http://dblp.uni-trier.de/db/conf/dcai/dcai2016.html#conf/dcai/OmatuY16
ID情報
  • DOI : 10.1007/978-3-319-40162-1_12
  • ISSN : 2194-5357
  • DBLP ID : conf/dcai/OmatuY16
  • SCOPUS ID : 84975507670
  • Web of Science ID : WOS:000387181500012

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