| 基于人工神经网络的智能识别数字模型 |
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| 引用本文： | 王国红,陈长兴.基于人工神经网络的智能识别数字模型[J].西安石油大学学报(自然科学版),2006,21(2):69-72. |
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| 作者姓名： | 王国红 陈长兴 |
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| 作者单位： | 空军工程大学,理学院,陕西,西安,710051 |
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| 基金项目： | 空军工程大学校科研和教改项目 |
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| 摘 要： | 人工识别阿拉伯数字既耗时又费力,提出了一种利用BP网络与竞争网络相结合的神经网络来识别阿拉伯数字的模型,仿真结果表明,该模型能够对数字进行准确、快速地识别,且抗噪能力较好.可以用于对部队番号、邮政编码、证件等进行识别.
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| 关 键 词： | 人工神经网络 数字识别 BP算法 噪声 |
| 文章编号： | 1673-064X(2006)02-0069-04 |
| 修稿时间： | 2005年11月11 |
Model for intelligently identifying Arabic numbers based on Artificial Neural Network |
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| WANG Guo-hong,CHEN Chang-xing.Model for intelligently identifying Arabic numbers based on Artificial Neural Network[J].Journal of Xian Shiyou University,2006,21(2):69-72. |
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| Authors: | WANG Guo-hong CHEN Chang-xing |
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| Abstract: | Artificially identifying Arabic numbers very wastes time, and therefore a model for intelligently identifying Arabic numbers by combining BP neural networks with competitive network is put forward. The simulation result shows that this model can quickly and correctly identify Arabic numbers, and it has better anti-noise ability. It can be used for identifying the code designation of a military, postal code and credentials code. |
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| Keywords: | artificial neural network identification of Arabic numbers noise |
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