两河流域苏美尔楔形文字识别

Sumerian Cuneiform Recognition in Tigris and Euphrates

在人类文明发祥地之一的古代西亚,苏美尔人创造了光辉灿烂的古西亚文明,对整个人类文明做出了巨大的贡献。楔形文字作为这种文明的载体,发挥着不可替代的作用。但是,受到当时书写材料等历史条件的限制,以及手写体的因人而异,造成了文字标准的不统一;后经时间的推移,使得出土文献部分缺失,这对通过原始文献来研究古文明的现代学者构成了极大的挑战。而采用径向基函数(RBF)人工神经网络对文献中的文字进行识别,使之标准化,其高度的容错性对缺失的文字可以进行很好的修补,定义特定的模糊模式,找出字义序列的规律,给研究古文明的学者创造了良好的条件。

In the ancient West Asia, one of the birthplaces of human civilization, Shiner created the splendid ancient civi- lization, and made an enormous contribution to the whole human civilization. Cuneiform was as a carrier of this civilization, and played an irreplaceable role. But the restrictions of writing materials, other conditions and the handwriting variation from person to person cause the ununified language standards, and as time goes time, some of the literature unearthed is missing,which poses a great challenge to the modern scholars who study ancient civilizations through the primitive literature. A use of the radial basis function （RBF） artificial neural network to recognize the word in the literature and standardize them, and its high fault-tolerance can repair the missing words, define a specific fuzzy model,identify the law of the word＇s sequence,and give good conditions in studying ancient civilizations.