[1]汤新梁.自由手写体数字识别的神经网方法[J].东南大学学报(自然科学版),1991,21(3):8-15.[doi:10.3969/j.issn.1001-0505.1991.03.002]
 Tang Xinliang.Handwritten Numeral Recognition Using Neural Networks[J].Journal of Southeast University (Natural Science Edition),1991,21(3):8-15.[doi:10.3969/j.issn.1001-0505.1991.03.002]
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自由手写体数字识别的神经网方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
21
期数:
1991年第3期
页码:
8-15
栏目:
数学、物理学、力学
出版日期:
1990-05-20

文章信息/Info

Title:
Handwritten Numeral Recognition Using Neural Networks
作者:
汤新梁
东南大学生物医学工程系
Author(s):
Tang Xinliang
Department of Biomedical Engineering
关键词:
神经网络 特征向量/学习样本
分类号:
O 235
DOI:
10.3969/j.issn.1001-0505.1991.03.002
摘要:
本文从模拟人脑思维功能这一基本思想出发,提出了一种改进的多层神经网络学习算法,并用于自由手写字体数字的识别,同时也提出了独特的特征加权算法.模拟结果表明对于变化较大或倾斜的手写字体数字能实现较精确的识别.

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更新日期/Last Update: 2013-04-20