gusucode.com > 神经网络算法在龙泉瓷鉴别中的应用研究 > 神经网络算法在龙泉瓷鉴别中的应用研究\文件说明.txt

    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 paper, the neural network algorithm is applied to Longquan porcelain identification analysis. Longquan porcelain porcelain is used as the research object. Eight kinds of main and secondary chemical components are selected. The algorithm is used to prepare three algorithm programs, and the difference between different algorithms is discussed. Of the differences and applicability, and graphical way to express it intuitively. The experimental results show that the trained network can accurately identify the unknown Jingdezhen porcelain and Longquan porcelain, and use the results to compare the advantages and applicability of the three methods in detail, which provides a new research idea for the ancient ceramic identification research and Analysis means.