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选取84个汝官瓷和钧官瓷样品进行质子激发X射线荧光分析(简称PIXE),测得每个样品胎和釉的7种主量化学组成含量.用支持向量机建立汝官瓷和钧官瓷分类模型,结果表明:只要正确选择核函数和SVM算法,胎釉样品的分类结果就会比较理想.支持向量机是一种很有价值的处理古陶瓷数据的新方法.
A total of 84 samples of Ru Guan porcelain and Junzheng porcelain were selected for proton excitation X-ray fluorescence analysis (PIXE for short), and the contents of seven main chemical components in each sample were measured. The results show that as long as the kernel function and the SVM algorithm are correctly selected, the classification results of the fetal glaze samples will be more ideal.SVM is a valuable new method to deal with the ancient ceramic data.