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Mathematical model application based on statistics in the evaluation analysis of grape wine quality

机译:基于统计学的数学模型应用在葡萄酒质量评价分析中

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The application of mathematical model based on statistics is widely used in many fields, especially in evaluation subject. On wine quality evaluation, it requires in-depth analysis of the physical-chemical indicators about wine grapes and wine. In this paper, we established the models of fitting, analysis of variance (ANOVA), Q cluster analysis and the optimized method of principal component analysis to explain the relationship between grape and grape wine as well as the physical-chemical indicators and the quality evaluation. Our results suggest that the models provide an effective way to the analysis, prediction and differentiation of grape wine quality. Furthermore, we show that there exits many factors affect the quality of grape wine, our statistics models provide superior performance for grape wine analysis.
机译:基于统计数据的数学模型在许多领域中广泛应用于评估主题。在葡萄酒质量评价上,它需要深入分析葡萄酒葡萄和葡萄酒的物理化学指标。在本文中,我们建立了拟合,方差分析(ANOVA),Q聚类分析和主要成分分析优化方法的模型,解释了葡萄和葡萄酒的关系以及物理化学指标和质量评价。我们的研究结果表明,该模型为葡萄葡萄酒质量的分析,预测和分化提供了有效的方法。此外,我们表明,退出了许多因素影响葡萄酒的质量,我们的统计模型为葡萄葡萄酒分析提供了卓越的性能。

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