摘要
本文将神经网络算法应用在龙泉瓷鉴别分析中,以龙泉瓷瓷胎作为研究对象,选取了8种主要和次要化学成分,利用matlab2012b软件分别编制三种算法程序进行实验,探讨不同算法之间的差异性及适用性,并用图形化方式直观地表达出来。实验结果表明,训练好的网络能准确的鉴别出未知景德镇仿龙泉瓷及龙泉瓷,利用结果详细的比较三种方法的优势和适用范围,为古陶瓷鉴别研究提供了一种新的研究思路和分析手段。
In this study, the neural network algorithm is used for the discriminance of Longquan ceramics. Taking Longquan ceramic body as the research object, selecting 8 kinds of major and minor constituents, and using the software of matlab2012b, three algorithms are compiled for the experiment. The difference and the applicability of these algorithms are discussed, and also graphically and visually expressed. The experiment results show that the trained network can accurately tell the unknown Jingdezhen replica from the authentic Longquan ware. Through the detailed comparison of the advantages and application scopes of these three methods, a new approach is provided for the identification of ancient ceramics.
出处
《陶瓷学报》
北大核心
2017年第3期425-432,共8页
Journal of Ceramics
基金
国家自然科学基(61202313)
江西省自然科学基金(20122BAB201044)
关键词
神经网络
龙泉瓷
鉴别
neural network
Longquan ceramics
identification.
