官能評価に基づく味覚センサの特性補正と食品識別への応用

カテゴリ: 論文誌(論文単位)

グループ名: 【E】センサ・マイクロマシン部門

発行日: 2016/07/01

タイトル(英語): Characteristic Collection of Taste Sensor Based on Sensory Evaluation and its Application to Food Discrimination

著者名: 佐藤　仁樹（公立はこだて未来大学システム情報科学部），葛西　大介（公益財団法人とかち財団），佐藤　雅子（(株) インテリジェントセンサーテクノロジー）

著者名(英語): Hideki Satoh (School of Systems Information Science, Future University Hakodate), Daisuke Kasai (Tokachi Foundation), Masako Satoh (Intelligent Sensor Technology, Inc.)

キーワード: 味覚センサ，関数近似，多項式，基底関数，遺伝的アルゴリズム，パターン認識　　taste sensor，function approximation，polynomial，basis，genetic algorithm，pattern recognition

要約(英語): A function that expresses the relationship between data obtained from a sensory evaluation and those obtained from a taste sensor was approximated using a polynomial. First, the basis functions of a polynomial were set to a Legendre function, and the number of basis functions and their degrees were selected using a genetic algorithm. Next, the coefficients of the polynomial were calculated using multiple regression analysis. The approximation error was estimated using cross-validation, and the number of basis functions and their degrees were optimized so as to maximize the generalization of the polynomial. As a result, sufficiently small approximation errors were obtained for test data, and the explicit relationship between the data obtained from a sensory evaluation and those obtained from a taste sensor were clarified using the polynomial. The discrimination rate for food was improved using the estimated data of a sensory evaluation compared to a method that used only the data obtained from a taste sensor.

本誌: 電気学会論文誌E（センサ・マイクロマシン部門誌） Vol.136 No.7 （2016） 特集：携帯型ケミカルセンサ・匂いセンサの最前線

本誌掲載ページ: 303-311 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/ieejsmas/136/7/136_303/_article/-char/ja/