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Titolo:
AUTOMATIC FUZZY MODELING FOR GINJO SAKE BREWING PROCESS USING FUZZY NEURAL NETWORKS
Autore:
HANAI T; KATAYAMA A; HONDA H; KOBAYASHI T;
Indirizzi:
NAGOYA UNIV,GRAD SCH ENGN,DEPT BIOTECHNOL NAGOYA AICHI 46401 JAPAN NAGOYA UNIV,GRAD SCH ENGN,DEPT BIOTECHNOL NAGOYA AICHI 46401 JAPAN
Titolo Testata:
Journal of Chemical Engineering of Japan
fascicolo: 1, volume: 30, anno: 1997,
pagine: 94 - 100
SICI:
0021-9592(1997)30:1<94:AFMFGS>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
FERMENTATION;
Keywords:
PROCESS SYSTEM; FUZZY NEURAL NETWORKS; GINJO SAKE BREWING; SIMULATION; SAKE PRODUCTION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
10
Recensione:
Indirizzi per estratti:
Citazione:
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

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 I regions. Weconstructed I 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 bg us.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/03/20 alle ore 08:27:12