Quality modeling for coffee using the knowledge information processing

Taizo Hanai, Eiji Ohkusu, Hiroyuki Honda, Fumio Ito, Motohiko Sugiura, Ichiro Asano, Takeshi Kobayashi

研究成果: Contribution to journalArticle査読

6 被引用数 (Scopus)

抄録

MRA (multiple regression analysis), NN (neural network) and FNN (fuzzy neural network) were applied in order to construct the models estimated from the analysis data for the sensory evaluations of various coffee samples. The estimated values using the MRA model for several sensory evaluations did not coincide well with the real values. NN and FNN models had high precision for sensory evaluations except for the sensory evaluation of "Hard". Membership functions and production rules, which were understandable qualitatively, were obtained from the constructed FNN model.

本文言語英語
ページ(範囲)560-568
ページ数9
ジャーナルNippon Shokuhin Kagaku Kogaku Kaishi
44
8
DOI
出版ステータス出版済み - 1997
外部発表はい

All Science Journal Classification (ASJC) codes

  • 食品科学

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