Ancient Glass Products Identification and Composition Analysis Based on Support Vector Machine

Abstract

Studying the chemical composition and weathering-related properties of ancient glass holds immense significance as it served as a vital trading commodity along the early Silk Road in China. The texture transformations of ancient glass are closely linked to its chemical composition and storage conditions. Throughout the weathering process, internal elements continually interact with the surrounding environment, leading to alterations in their chemical proportions. To address this, this article has developed a classification method utilizing support vector machines for identifying glass types and analyzing their compositions. This article research provides archaeologists with a convenient tool for investigating ancient glasses, significantly enhancing the identification process.