| 手写体数字识别的一种模糊神经网络方法 |
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| 引用本文： | 赵宏宇,叶文霞.手写体数字识别的一种模糊神经网络方法[J].西南交通大学学报,1997,32(3):247-252. |
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| 作者姓名： | 赵宏宇 叶文霞 |
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| 作者单位： | 西南交通大学神经网络与信息技术研究所 |
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| 摘 要： | 将模糊特征取技术与区组设计前馈网络相结合用于手写体数字识别。实验表明，该方法对５００个未学习样本的识别率达到了９５．８％。这一结果，相当于或优于目前已经发表的先进成果。
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| 关 键 词： | 模式识别 手写体数字识别 模糊神经网络 |
Handwritten Digit Recognition with Fuzzy Neural Networks |
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| Zhao,Hongyu,Ye,Wenxia,Jin,Fan.Handwritten Digit Recognition with Fuzzy Neural Networks[J].Journal of Southwest Jiaotong University,1997,32(3):247-252. |
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| Authors: | Zhao Hongyu Ye Wenxia Jin Fan |
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| Abstract: | Fuzzy feature extraction and block design feedforward networks are employed to recognize handwritten digits.Experiments demonstrate that the method achieves a recognition rate of 95.8 % in 500 unstudied samples. This recognition rate is equivalent to or better than those of published results. |
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| Keywords: | fuzzy feature extraction block design neural networks pattern recognition |
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