Automatic Fuzzy Modeling For Ginjo Sake Brewing Process Using Fuzzy Neural Networks

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

Akemi Katayama¹  Taizo Hanai¹  Hiroyuki Honda¹  Takeshi Kobayashi¹ 

[1] Department of Biotechnology, Graduate School of Engineering, Nagoya University

关键词: Process System;    Fuzzy Neural Networks;    Ginjo Sake Brewing;    Simulation;    Sake Production;   

DOI  :  10.1252/jcej.30.94

来源: Maruzen Company Ltd

【 摘 要 】

References(10)Cited-By(20)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.

【 授权许可】

Unknown