Evaluation on Wine Quality Based on the Extraction of Neural Network Weights and Consistency of Particle Size
LUO Ying-zhe
HUANG Zi-xuan
XU Jin-hui
WEN Qing
MA Chao
ZHANG Zhen-hua
Abstract：Discussing the possibility of using physical and chemical indexes to evaluate wine quality is the popular research topic in the field of wine evaluation recently .To further study this topic ,princi‐pal components are proposed in this paper in the analysis of aromatic substance and simplified physical and chemical indexes ,then BR neural network is established to determine the index weight of wine qual‐ity .When discussing whether physical and chemical indexes can be used to evaluate wine quality ,we in‐troduce the concept ,consistency of particle size .Along with linear weighted analysis and gray relation analysis ,the evaluation process is analyzed based on its consistency of particle size .Experimental statis‐tics show that physical and chemical indexes of grapes and wine have effects on wine quality but can not give a full appraisal of it .The analysis methods applied in this paper have important guiding significance on the study of the quantitative evaluation of wine quality .
Keywords：evaluation of wine qualityneural networkweight analysisconsistency of particle sizegrey correlation analysis
Publication Date：2015-01-01
Online Publishing Date：2026-08-28(First online date of this platform, not the publication date of the document)
Pages：8( 67-73,78 )