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| 基于BP神经网络的手写数字识别的算法 | |
| 引用本文： | 王璇,薛瑞. 基于BP神经网络的手写数字识别的算法[J]. 自动化技术与应用, 2014, 0(5): 5-10 |
| 作者姓名： | 王璇 薛瑞 |
| 作者单位： | 东北林业大学机电工程学院,黑龙江哈尔滨150040 |
| 摘 要： | 由于BP神经网络具有并行处理信息、自组织、自学习信息等优点,本文采用了BP神经网络对手写数字识别进行运算,提取笔画密度、长宽比和欧拉数等特征作为训练样本.并用Matlab对其算法进行仿真,并且很准确的识别出来,说明其有非常广泛的前景. |
| 关 键 词： | BP神经网络 手写数字识别 模式识别 特征提取 |
The Algorithm of Handwritten Digit Recognition Based on BP Neural Network |
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| WANG Xuan,XUE Rui. The Algorithm of Handwritten Digit Recognition Based on BP Neural Network[J]. Techniques of Automation and Applications, 2014, 0(5): 5-10 | |
| Authors: | WANG Xuan XUE Rui |
| Affiliation: | ( Dept.of Mechanical and Electrical Engineering Northeast ForestryUniversity, Harbin 150040 China ) |
| Abstract: | BP neural network has predominances of collateral processing information, self-organizing, self-learning. The paper uses BP neural network to recognize handwritten digit samples, and feature of the stroke density, length width ratio and Euler number, and is extracted as training samples. The algorithm is simulated with Matlab. It has a very accurate identification and promising prospect. |
| Keywords: | BP neural network handwritten numeral pattern recognition feature subset selection |
| 本文献已被 维普 等数据库收录！ | |