境界補正Support Vector Machineによる特定匂い検出アルゴリズム

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2015/07/01

タイトル(英語): Odor Detecting Algorithm with Boundary Compensation Support Vector Machine

著者名: 小川　恵志郎（大阪府立大学），井上　勝文（大阪府立大学），吉岡　理文（大阪府立大学），柳本　豪一（大阪府立大学）

著者名(英語): Keishiro Ogawa (Osaka Prefecture University), Katsufumi Inoue (Osaka Prefecture University), Michifumi Yoshioka (Osaka Prefecture University), Hidekazu Yanagimoto (Osaka Prefecture University)

キーワード: 匂い，機械学習，サポートベクターマシン，不均衡データ　　odor，machine learning，support vector machine，imbalanced data

要約(英語): In recent years, technological developments of electronic circuit have made it possible to detect odors. There has been considerable interest in odor sensors in various fields. In our research, we utilize quartz crystal microbalance sensors as odor sensors because they are inexpensive and have similar properties of human nose. Although an odor is measured by combining a lot of Quartz Crystal Microbalance sensors having different performances for odor detection, it is difficult to detect the specific odor that we want. Additionally, the detection of mixed odor is more difficult since the data of mixed odor is imbalance in practice. To solve this problem, in this paper, we propose a new odor detecting algorithm for imbalanced data improving support vector machine. The characteristic point of the proposed method is it enables us to compensate hyperplane for support vector machine by improving penalty term of it. From the experimental results with some datasets, we achieved that our proposed method allowed us to classify imbalanced data better than support vector machine and we confirmed it was feasible and effective for odor detection.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.135 No.7 （2015） 特集：平成26 年電子・情報・システム部門大会

本誌掲載ページ: 920-926 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/135/7/135_920/_article/-char/ja/