| 基于BP网的手写数字符号识别 |
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| 引用本文： | 贾小军. 基于BP网的手写数字符号识别[J]. 嘉兴学院学报, 2006, 18(6): 89-91,112 |
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| 作者姓名： | 贾小军 |
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| 作者单位： | 嘉兴学院信息工程学院,浙江嘉兴,314001 |
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| 摘 要： | 探讨了一种手写数字符号的识别方法，采用BP神经网络。利用其良好的监督学习功能进行识别．结合提取的降维数字符号特征，能较好地识别出手写的数字符号．实验结果表明。该方法简单且有较高的识别率．
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| 关 键 词： | BP网络 特征提取 识别 |
| 文章编号： | 1008-6781（2006）06-0089-03 |
| 收稿时间： | 2005-02-14 |
| 修稿时间： | 2005-02-14 |
The Recognition of Handwritten Numeral Symbols Based on BP Network |
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| Jia Xiao-jun. The Recognition of Handwritten Numeral Symbols Based on BP Network[J]. Journal of Jiaxing College, 2006, 18(6): 89-91,112 |
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| Authors: | Jia Xiao-jun |
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| Affiliation: | School of Information Engineering, Jiaxing University, Jiaxing Zhejiang 314001 |
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| Abstract: | An available recognition method for handwritten numeral symbols is introduced in this paper, i. e. through combing BP network which has bood learning supervision power with the symbolic features of the extracted dimension - fallen figures, the handwriting numeral symbols can be well recognized, and the experiment results show that this method is simple and has high recognition efficiency. |
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| Keywords: | BP network feature extracting recognition. |
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