根据一般化的沙普利函数预测和分类古老玻璃物体的化学成分
Na-Na Cai1, Yi-Yuan Yin1, Qi Han2
1Shandong University of Science and Technology, Jinan, China.
Frontiers in chemistry
|May 17, 2024
概括
这项研究开发了一种方法,通过分析其化学成分来识别古老的玻璃,即使经过气候变化. 这种方法有助于准确地分类文物,有助于考古研究.
科学领域:
- 考古测量考古测量方法
- 材料科学 材料科学 材料科学
- 分析化学 分析化学
背景情况:
- 古代玻璃文物由于埋葬环境和气候变化而经历化学变化.
- 这些变化使准确的识别和分类变得复杂.
- 了解化学成分对于考古学来源研究至关重要.
研究的目的:
- 预测和识别古代玻璃制品的化学成分.
- 建立气候和玻璃类型,装饰和颜色之间的关系.
- 开发一种方法来确定化学成分在气候变化之前,以准确地分类文物.
主要方法:
- 多变量统计ANOVA试验分析影响化学成分的因素.
- 缺失值的数据归算和距离歧视用于气候评估.
- 灰色预测建模和一般化沙普利函数用于组合分析.
主要成果:
- 确定了规律,控制了化和不化古老玻璃中化学成分的变化.
- 使用灰色预测成功预测了气候变化前的化学成分.
- 各种指标和化学成分之间的量化相关性和差异.
结论:
- 拟议的方案有效地解决了考古学类别判断的挑战.
- 精确的化学成分分析有助于识别古老的玻璃.
- 这种方法对推进考古研究和文物分析做出了重大贡献.
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