| 神经网络对带噪声汽车牌照的识别 |
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| 引用本文： | 王元莉.神经网络对带噪声汽车牌照的识别[J].甘肃联合大学学报(自然科学版),2005,19(3):17-19. |
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| 作者姓名： | 王元莉 |
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| 作者单位： | 青海大学,化工学院,青海,西宁,810016 |
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| 摘 要： | 提出一种用神经网络识别带有噪声字符的研究方法．采用单层反馈网(Hopfield网)模型及在模式中应用双联想记忆BAM网络的快速增强算法，对字符进行识别．得出此方法可正确联想出无噪声的原模式，而且具有更好的辨识率．
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| 关 键 词： | 神经网络 噪声 快速增强算法 双联想 |
| 文章编号： | 1672-691X(2005)03-0017-03 |
| 修稿时间： | 2005年5月9日 |
Vehicle Licence Plate with Noisy Recognition by Artificion Neural Network |
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| WANG Yuan-li.Vehicle Licence Plate with Noisy Recognition by Artificion Neural Network[J].Journal of Gansu Lianhe University :Natural Sciences,2005,19(3):17-19. |
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| Authors: | WANG Yuan-li |
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| Abstract: | The author puts forward a research method recognize vehicle licence plate with noisy base on artificion neural network .The system adopts monolayer feedback network model and bidirectional associative memory (BAM) of celerity augmentation method for character recognition . As result this method is able to rightly associate noiseless original model and consistently exhibit better classification. |
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| Keywords: | artificion neural network noisy celerity augmentation method bidirectional associative memory |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
