{"product_id":"ieej-zt20223-148","title":"Inverse method to predict Mass Spectrum for binary Odor Descriptor using Machine Learning","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e全国大会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e論文No: \u003c\/strong\u003e3-148\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名: \u003c\/strong\u003e【全国大会】令和4年電気学会全国大会論文集\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2022\/03\/01\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eInverse method to predict Mass Spectrum for binary Odor Descriptor using Machine Learning\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003eDebnathTanoy（Tokyo Institute of Technology）,NakamotoTakamichi（Tokyo Institute of Technology）\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eDebnath Tanoy (Tokyo Institute of Technology),Nakamoto Takamichi (Tokyo Institute of Technology)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード: \u003c\/strong\u003e|Inverse method|Mass spectrum|binary odor descriptor|machine learning\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(英語): \u003c\/strong\u003eMost of the olfactory perception works focus on forward prediction of odor impression, for example, given an odorant molecular structure predict its odor impression. So far, mapping of mass spectrum space into the odor perception space (binary or continuo\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌掲載ページ: \u003c\/strong\u003e224-225 p\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e英語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePDFファイルサイズ: \u003c\/strong\u003e356 Kバイト\u003c\/p\u003e","brand":"IEEJ-PDF","offers":[{"title":"PDFダウンロード（一般価格440円\/会員価格220円） \/ A4 \/ 1","offer_id":46402028830959,"sku":"IEEJ-ZT20223-148-PDF","price":440.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-PDF_b74f18fd-f952-4345-ab72-e73699f1c105.png?v=1744969363","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-zt20223-148","provider":"電気学会 電子図書館","version":"1.0","type":"link"}