Multiple regression-based glass composition prediction and statistics

Xiaohan Deng, Tangliang Wang
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Abstract

: The surface weathering of ancient glass can be distinguished from the type of ancient glass by chemical composition as well as color and ornamentation. This paper constructs mathematical models to analyze the relationship between surface weathering and glass type, color and ornamentation based on different chemical compositions and characteristic data of color and ornamentation in ancient glass, explores the statistical law of chemical composition content with and without weathering, and constructs an effective classification model to realize glass type classification. This paper solves the relationship between glass type, decoration and color and their weathering degree; analyzes the statistical law of chemical composition content with and without weathering on the surface of two types of glass; derives the prediction formula and predicts the chemical composition content of two types of glass before weathering.
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基于多元回归的玻璃成分预测与统计
古代玻璃的表面风化可以通过化学成分以及颜色和纹饰来区分古代玻璃的类型。本文根据古代玻璃中不同的化学成分和颜色、纹饰特征数据,构建数学模型,分析表面风化与玻璃类型、颜色、纹饰之间的关系,探索风化前后化学成分含量的统计规律,构建有效的分类模型,实现玻璃类型分类。解决了玻璃类型、装饰、颜色与耐候性的关系;分析了两种玻璃表面经风化和不经风化后化学成分含量的统计规律;推导出预测公式,对两种玻璃风化前的化学成分含量进行了预测。
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