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The use of discriminant analysis methods for diagnosis of the causes of differences in the properties of resin mortar containing various fillers

机译:判别分析方法用于诊断含有各种填料的树脂砂浆性能差异的原因

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Resin mortars belong to the group of concrete-like construction composites. They are obtained by mixing a synthetic resin with a hardener and an appropriately selected aggregate. The latter component is usually as much as 90% of the composite mass and can largely shape the characteristics of the finished product. The fact that the type of filler used can significantly differentiate the values of physical and mechanical parameters of epoxy mortars is confirmed by the results of the exploratory data analysis method used in this article, which is discriminant analysis. This allows us to examine differences between groups of objects based on a set of selected independent variables (predictors). It is used to solve a wide range of classification and prediction problems. The core of discriminant analysis is a model presented in the form of a linear combination of independent variables, which allows classification of observations (e.g. test mortars) into one of the groups that are of interest to the researcher. In discriminant analysis one can distinguish the learning stage (model building), in which classification rules are created based on research results (training set) and the classification stage, i.e. the use of the model, e.g. for testing its prognostic accuracy.
机译:树脂砂浆属于类混凝土建筑复合材料的类别。它们通过与硬化剂并且适当选择的集料混合的合成树脂获得的。后者通常占复合材料质量的90%,并且可以在很大程度上改变最终产品的特性。本文使用的探索性数据分析方法(判别分析)的结果证实了所用填料类型可以显着区分环氧砂浆的物理和机械参数值的事实。这使我们可以根据一组选定的独立变量(预测变量)检查对象组之间的差异。它用于解决各种分类和预测问题。判别分析的核心是以独立变量的线性组合形式表示的模型,该模型允许将观察值(例如试验砂浆)分类为研究人员感兴趣的一组。在判别分析中,可以区分学习阶段(模型构建),其中根据研究结果(训练集)和分类阶段创建分类规则,即使用模型(例如模型)用于测试其预后准确性。

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