Automatic Fuzzy Modeling for Ginjo Sake Brewing Process using Fuzzy Neural Networks.
- 1 January 1997
- journal article
- Published by Taylor & Francis in JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
- Vol. 30 (1) , 94-100
- https://doi.org/10.1252/jcej.30.94
Abstract
No abstract availableKeywords
This publication has 5 references indexed in Scilit:
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- Analysis of the state characteristics of sake brewing with a neural networkJournal of Fermentation and Bioengineering, 1992
- A Kinetic Study on Continuous Sake FermentationJournal of Fermentation and Bioengineering, 1991
- Application of fuzzy control theory to the sake brewing processJournal of Fermentation and Bioengineering, 1991
- Learning representations by back-propagating errorsNature, 1986