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宋代汝窑古瓷的微量元素-支持向量机算法研究
引用本文:王焜,陆文聪,陈念贻,李国正,姚莉秀. 宋代汝窑古瓷的微量元素-支持向量机算法研究[J]. 计算机与应用化学, 2004, 21(2): 191-194
作者姓名:王焜  陆文聪  陈念贻  李国正  姚莉秀
作者单位:上海大学化学系计算机化学研究室,上海,200436;上海交通大学图象及模式识别研究所,上海,200030
基金项目:国家自然科学基金资助(50174038)
摘    要:用支持向量机(Support Vectcr Machine,SVM)算法处理汝瓷釉和汝瓷胎的微量元素含量数据,结果表明官汝窑器与民汝窑器不论按其釉的成分还是按其胎的成分都能完全区分,留一法分类预报正确率亦达100%。这说明官汝窑和民汝窑所用原料有明显差别。本文还根据官汝窑釉中锶含量与其他元素含量关系的规律,为鉴别古汝瓷和近代仿制品提供线索。上述结果表明:支持向量机算法对古陶瓷研究是有用的。

关 键 词:官汝窑  民汝窑  支持向量机算法  数学模型
文章编号:1001-4160(2004)02-191-194

Investigation of Ru-porcelain of song dynasty by trace element-SVM method
WANG Kun LU WenCong CHEN NianYi LI GuoZheng and YAO LiXiu. Investigation of Ru-porcelain of song dynasty by trace element-SVM method[J]. Computers and Applied Chemistry, 2004, 21(2): 191-194
Authors:WANG Kun LU WenCong CHEN NianYi LI GuoZheng and YAO LiXiu
Affiliation:WANG Kun~1 LU WenCong~1 CHEN NianYi~1 LI GuoZheng~2 and YAO LiXiu~2
Abstract:Support vector machine,as a newly proposed data mining technique,has been applied to differentiate the prod-ucts of official porcelain Ru-kiln from that of the folk porcelain Ru-kiln by the data mining of the data of trace elements con-tent in their products.The results indicate that the classification is clear-cut and the rate of correctness in leaving-one-outtest is 100%.It implies that the raw materials used in the official Ru-kiln and that of folk Ru-kiln were significantly differ-ent.Besides,It has been found that the relationship between the Sr content and the content of some other elements in glazescan be used as a criterion to differentiate the ancient Ru-porcelain and the imitation products.
Keywords:official Ru-kiln  folk Ru-kiln  support vector machine  mathematical model
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