Wine quality evaluation research based on the physical and chemical indicators
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Abstract
This paper mainly studied how to make reasonable wine grapes for wine quality grading and evaluate the quality of the wine objectively.Therefore, this article combined with Kendall coefficient of concordance, cluster analysis, canonical correlation analysis and simulated annealing method and so on to establish the T-test model, regression model, optimization model and simulation test model.Thus the quality of wine and wine grapes physical and chemical indicators could indicate part of the relationship between the quality of the wine and wine physical and chemical indicators, and set up the link between the physical and chemical indicators of wine grapes and wine physical and chemical indicators, and expressed their relevance.Finally, the article used the simulation model inspection to certificate the consistency of each steps and gave the new method of evaluating wine quality.
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