A Study of The Chemical Composition of Glass Based on Regression Analysis

Abstract

With the continuous archaeological excavations, ancient glass objects have been unearthed in various parts of China, ranging from the Western Zhou Dynasty to the Ming and Qing Dynasties, providing a wealth of physical objects for the study of ancient Chinese glass, which has attracted the general attention of scholars at home and abroad. The study of the chemical composition of ancient glass is one of the most important aspects of ancient glass research. In this paper, a suitable classification model is established from the cluster analysis model to provide the correct classification of glass weathering caused by the external environment. This paper will analyze the relationship between weathering and glass type, decoration, and color. Combined with the type of glass, the statistical law of chemical composition content on the surface of cultural relics is analyzed and described, and the change law between the content of each component and the weathering degree is quantitatively reflected through regression. Based on the data of weathering point detection, inference will be made to predict the chemical composition content before weathering.