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Development of Neural Network Analysis Program to Predict Shelf-life of Soymilk by Using Electronic Nose KCI 등재

  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/286611
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산업식품공학 (Food Engineering Progress)
한국산업식품공학회 (Korean Society for Food Engineering)
저자
  • Sang-Hoon Ko(Dept. of Food Science & Technology, Seoul National Univ.)
  • Eun-Young Park(Dept. of Food and Microbial Technology, Seoul Womens Univ.)
  • Kee-Young Han(Dept. of Food and Microbial Technology, Seoul Womens Univ.)
  • Bong-Soo Noh(Dept. of Food and Microbial Technology, Seoul Womens Univ.) Corresponding author
  • Suk-Shin Kim(Dept. of Food Science and Nutrition, The Catholic Univ. of Korea)