Application of an artificial neural network and genetic algorithm for determination of process orbits in the koji making process

Taizo Hanai, Hiroyuki Honda, Eiji Ohkusu, Toshihiko Ohki, Hisao Tohyama, Takahiro Muramatsu, Takeshi Kobayashi

研究成果: Contribution to journalArticle査読

14 被引用数 (Scopus)

抄録

In order to estimate α-amylase, glucoamylase, acid proteinase, and acid carboxypeptidase activities in koji from the process variables and initial conditions of the koji making process, artificial neural network (ANN) models (ANN-10, -11, -15, and -21) were constructed with 10, 11, 15, and 21 input variables, respectively. These models could estimate the enzyme activities with high accuracy. Temperature and humidity orbits were then acquired by a genetic algorithm searching in the reverse direction using ANN-10, -11, -15, and -21 (GA-10, -11, -15, and -21). The orbits acquired by GA-15 and -11 were almost identical to the actual orbits, but those acquired by GA-21 and -10 were different. Enzyme activities acquired by GA-15 had 1.3% errors compared with the target values, while those acquired by GA-11 had 9.7% errors. GA-15 was, therefore, selected as the most suitable algorithm and was used to determine temperature and humidity orbits for target enzyme activities. Test koji making was then carried out according to the orbits acquired. As a result, the enzyme activities of the koji produced were almost the same as the target values.

本文言語英語
ページ(範囲)507-512
ページ数6
ジャーナルJournal of Bioscience and Bioengineering
87
4
DOI
出版ステータス出版済み - 1999
外部発表はい

All Science Journal Classification (ASJC) codes

  • バイオテクノロジー
  • バイオエンジニアリング
  • 応用微生物学とバイオテクノロジー

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