古代玻璃分类与成分复原模型  

Classification and Composition Restoration Model of Ancient Glass

作　　者：刘苏霆 周彤 李皓 覃思义[3] LIU Suting;ZHOU Tong;LI Hao;QIN Siyi(School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;School of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;School of Mathematics,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]电子科技大学信息与通信工程学院,成都611731 [2]电子科技大学计算机科学与工程学院,成都611731 [3]电子科技大学数学科学学院,成都611731

出　　处：《实验科学与技术》2024年第6期125-129,共5页Experiment Science and Technology

基　　金：国家自然科学基金(12071062)。

摘　　要：分析丝绸之路上古代玻璃的成分,有利于了解历史的脉络。由于恶劣环境条件的影响,玻璃会出现风化的情况,这对玻璃成分分析和类别确定带来困难。该文提出了一种综合鉴定方法:对风化前的玻璃成分进行预测,并利用投票法和K-Means方法建立类别的划分模型。经过验证,类别划分模型达到了98.44%的准确度,且有较好的鲁棒性。The analysis of the composition of ancient glass on the Silk Road is helpful to understand the context of history.Due to the influence of adverse environmental conditions,the glass will be weathered,which brings difficulties to the composition analysis and classification of glass.In this paper,a comprehensive identification method is proposed,the glass composition before weathering is predicted,and the classification model is established by using voting method and K-Means method.After validation,the category classification model achieves an accuracy of 98.44%with good robustness.

关 键 词：方差分析 投票法 K-MEANS 鲁棒性 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]