Automatic fuzzy modeling for Ginijo sake brewing process using fuzzy neural networks

Taizo Hanai, Akemi Katayama, Hiroyuki Honda, Takeshi Kobayashi

研究成果: Contribution to journalArticle査読

25 被引用数 (Scopus)

抄録

Automatic fuzzy modeling was studied for Ginjo sake brewing process using a fuzzy neural network (FNN). From the analysis of data for 25 Ginjo sake brewings, the control period was separated into 4 regions. We constructed 4 FNN models for fuzzy control in each control region. Acquired models could estimate the set temperature precisely, and acquired rules coincided well with the experience of Toji. The suitability of acquired models was confirmed by the simulation proposed by us.

本文言語英語
ページ(範囲)94-100
ページ数7
ジャーナルJOURNAL OF CHEMICAL ENGINEERING OF JAPAN
30
1
DOI
出版ステータス出版済み - 2 1997
外部発表はい

All Science Journal Classification (ASJC) codes

  • 化学 (全般)
  • 化学工学(全般)

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