A New Mathematical Modelling Approach For Viticulture And Winemaking Using Fuzzy Cognitive Maps

被引：0
|
作者：
Groumpos, Vasilios P. [1 ]
Biniari, Katerina [1 ]
Groumpos, Peter P. [2 ]
机构：
[1] Agr Univ Athens, Lab Viticulture, Iera Odos 75, Athens, Greece
[2] Univ Patras, Lab Automat & Robot, Dept Elect & Comp Engn, GR-26110 Patras, Greece
来源：
2016 ELEKTRO 11TH INTERNATIONAL CONFERENCE | 2016年
关键词：
WINE QUALITY; SYSTEMS;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The aim of this paper is to present a new approach in modelling wine quality and quantity using Fuzzy Cognitive Maps trained by non linear Hebbian learning algorithm. The methodology described extracts the knowledge from the experts and exploits their experience on wine production. Two case studies with data from real vineyards were examined. The results of this study show that software tools using Fuzzy Cognitive Maps could be explored further and problems that arise during the wine production could be prevented by an efficient decision support system.
引用
收藏
页码：57 / 61
页数：5
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