Analysis of the State Characteristics of Sake Brewing with a Neural Network
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概要
- 論文の詳細を見る
The state characteristics of sake brewing were quantitatively defined as a numerical value, i.e. an SD value, expressing the time required for the alcohol concentration to reach 10 to 18 v/v%, assuming the temperature of the sake-mash (moromi) to be maitained at 15℃ during brewing. A previously reported kinetic model of alcohol production was applied for this definition. The SD values varied from batch to batch, indicating that the target Banume reference pattern for the fuzzy control system reported previously shold be selected in accordance with the characteristics of brewing. A procedure for estimating the brewing characteristics in the early stages was developed by applying error back-propagation learning with a neural network. This procedure enabled the fuzzy control system to generate the target Baume reference pattern according to the brewing characteristics.
- 公益社団法人日本生物工学会の論文
- 1992-02-25
著者
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Oishi Kazuhiko
Pharmaceutical Research And Development Department Asahi Chemical Industry Company Ltd.
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IMAYASU Satoshi
Research Institite of Gekkeikan, Gekkeikan Sake Co., Ltd.
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OISHI KAORU
Research Institute, Gekkeikan Sake Co. Ltd.,
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TOMINAGA MITSUNORI
Research Institute, Gekkeikan Sake Co. Ltd.,
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Oishi K
Nihon Univ. Kanagawa Jpn
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Kawato A
Research Institute Gekkeikan Sake Co. Ltd.
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Kawato Akitsugu
Research Institute Gekkeikan Sake Co. Ltd.
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Imayasu Satoshi
Research Institute Gekkeikan Sake Co. Ltd.
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TOMINAGA Mihoko
National Research Institute of Brewing
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