Research on the Composition Analysis and Identification of Ancient Glass Products

Identification
DOI: 10.54097/hset.v58i.10030 Publication Date: 2023-07-17T03:22:34Z
ABSTRACT
Chinese glass has a history of thousands years, and ancient is valuable material evidence early cultural exchanges trade between China the West. With continuous development economy technology, scholars have made deeper research on composition, but at present, most works in focus chemical point view detection technology exchanges, less statistical law identification classification. In this paper, relationship weathering, ornamentation, colour type surface analyzed by correspondence analysis. Then Mann-Whitney test used to content each substance different types before after composition relics samples with or without weathering expounded. Then, classification criteria high-potassium lead-barium were obtained using decision tree random forest model, sub-classification method four was given K-means clustering algorithm based standardized data, divided into two categories. Finally, neural network analyze identify unknown glass. It provides reference for further study
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