JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
Online ISSN : 1881-1299
Print ISSN : 0021-9592
Research Papers
Automatic Fuzzy Modeling For Ginjo Sake Brewing Process Using Fuzzy Neural Networks
Taizo HanaiAkemi KatayamaHiroyuki HondaTakeshi Kobayashi
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JOURNAL FREE ACCESS

1997 Volume 30 Issue 1 Pages 94-100

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Abstract

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.

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© 1997 The Society of Chemical Engineers, Japan
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