Automatic fuzzy modeling for Ginjo sake brewing process using fuzzy neural networks

被引：22

作者：

Hanai, T ^{[1
]}

Katayama, A ^{[1
]}

Honda, H ^{[1
]}

Kobayashi, T ^{[1
]}

机构：

[1] NAGOYA UNIV, GRAD SCH ENGN, DEPT BIOTECHNOL, NAGOYA, AICHI 46401, JAPAN

来源：

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN | 1997年 / 30卷 / 01期

关键词：

process system; fuzzy neural networks; Ginjo sake brewing; simulation; sake Production;

D O I：

10.1252/jcej.30.94

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

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. We constructed 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.

引用

页码：94 / 100

页数：7

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