Radial basis function network based feature extraction for improvement the procedure of sourcing neolithic ceramics

G. Kvascev, M. Kvaščev, Z. Djurovic
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Abstract

Modern studies of a cultural heritage objects are increasingly multidisciplinary. A variety of analytical techniques supported by pattern recognition methods can help in answering about the origin, dating or authenticity. Results of sourcing ceramics from three Neolithic sites in Serbia are shown in this paper. The procedure based on radial basic function networks (RBFN) was employed in ceramic characterization. The results obtained were tested in previously established procedure for origin of production determination.
基于径向基函数网络的特征提取改进新石器时代陶瓷采购流程
现代对文物的研究越来越多地涉及多个学科。模式识别方法支持的各种分析技术可以帮助回答关于起源,日期或真实性。从塞尔维亚的三个新石器时代遗址采购陶瓷的结果显示在本文中。采用基于径向基函数网络(RBFN)的方法进行陶瓷表征。所得结果在先前建立的生产原产地确定程序中进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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