AUTOMATIC FUZZY MODELING FOR GINJO SAKE BREWING PROCESS USING FUZZY NEURAL NETWORKS

Authors
HANAI T KATAYAMA A HONDA H KOBAYASHI T
Citation
T. Hanai et al., AUTOMATIC FUZZY MODELING FOR GINJO SAKE BREWING PROCESS USING FUZZY NEURAL NETWORKS, Journal of Chemical Engineering of Japan, 30(1), 1997, pp. 94-100
Citations number
10
Categorie Soggetti
Engineering, Chemical
Journal title
Journal of Chemical Engineering of Japan → ACNP
ISSN journal
00219592
Volume
30
Issue
1
Year of publication
1997
Pages
94 - 100
Database
ISI
SICI code
0021-9592(1997)30:1<94:AFMFGS>2.0.ZU;2-8
Abstract
Automatic fuzzy modeling was studied for Ginjo sake brewing process us ing a fuzzy neural network (FNN). From the analysis of data for 25 Gin jo sake brewings, the control period was separated into I regions. We constructed I FNN models for fuzzy control in each control region. Acq uired models could estimate the set temperature precisely, and acquire d rules coincided well with the experience of Toji. The suitability of acquired models was confirmed by the simulation proposed bg us.