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ArticleJ-GLOBAL ID:200902212503835320整理番号:08A1243001

教師ありSOMを用いた紙幣音響特徴に基づく疲弊度推定

Fatigue Level Estimation of Bill Based on Acoustic Signal Feature by Supervised SOM

著者:寺西大(広島工業大学 情報学部 知的情報システム学科)、大松繁(大阪府立大学大学院 工学研究科)、小坂利壽(グローリー工業 技術開発部)
資料名:電気学会論文誌 C 巻:128 号:12 ページ:1804-1810 (J-STAGE)
発行年:2008年
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