Determination of the Blending Ratio of Regular Coffee Samples by Information Technology

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概要

• 論文の詳細を見る

• A searching method for the blending ratio of regular coffee with a designed flavor and taste has been developed. A fuzzy neural network (FNN) model was at first constructed for estimation of the sensory scores of various blending ratios. Using the model, the following four methods were attempted in order to estimate the blending ratio with the designed sensory score: 1) an exhaustive search, 2) a method using a genetic algorithm (GA), 3) a method using the GA combined with a reliability index (RIGA), and 4) a reverse FNN model. Among the results of these methods, the RIGA showed a good performance not only on estimation of the known blending ratio but also on the actual blending test in the present study.

• 社団法人 化学工学会の論文
• 2002-02-01

著者

• Honda Hiroyuki

  Department of Biotechnology, School of Engineering, Nagoya University

• 花井 泰三

  Department Of Biotechnology School Of Engineering Nagoya University

• KOBAYASHI Takeshi

  Department of Electrical Engineering, Faculty of Engineering Science, Osaka University

• Kobayasi T

  School Of Bioscience And Biotechnology Chubu University

• Tominaga O

  Univ. Tokyo Tokyo

• Tominaga O

  Faculty Of Biotechnology Fukui Prefectural University

• Tominaga Osamu

  Central Research Laboratories Ajinomoto General Foods Inc.

• HANAI Taizo

  Department of Biochemistry and Engineering, Tohoku University

• Honda Hiroyuki

  Department Of Bioengineering Tokyo Institute Of Technology

• Kobayashi T

  Graduate School Of Marine Science And Technology Tokyo University Of Marine Science And Technology

• Hanai Taizo

  Department Of Biochemistry And Engineering Tohoku University

• ITO Fumio

  Central Research Laboratories, Ajinomoto General Foods Inc.

• Kobayashi Takeshi

  Department Of Biological Chemistry College Of Bioscience And Biotechnology Chubu University

• Ito F

  Central Research Laboratories Ajinomoto General Foods Inc.

• Honda Hiroyuki

  Department Of Anesthesia Niigata City General Hospital

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