基于改进BP网络的手写体汉字识别技术  

On Recognition of Handwritten Chinese CharactersBased on Improved BP Networks

作　　者：杨慧[1] 张敏[1] 

机构地区：[1]中国民航学院计算机科学与技术学院,天津300300

出　　处：《中国民航学院学报》2005年第2期27-30,共4页Journal of Civil Aviation University of China

基　　金：中国民用航空总局科研基金项目(199705)

摘　　要：研究了手写体汉字识别技术,采用改进BP算法进行网络训练,提高了算法的收敛速度。同时,利用神经网络完成了汉字识别系统的实现。实验表明系统较好地回避了汉字结构复杂、变形难以预测等问题,提高了识别效率。A technological research on recognition of handwritten Chinese characters based on improved BP algorithm is summarized. This algorithm can enhance convergence speed. The Chinese character recognition system is realized,as a result of the use of improved BP networks. Experimental results demonstrate that this system can successfully overcome obstacles out of the complexity of the Chinese characters' structures,and of difficulties to foresee written forms' changes.

关 键 词：人工神经网络 改进BP算法 汉字识别 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术]