| 基于车型识别的BP算法Matlab实现 |
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| 引用本文： | 杜华英.基于车型识别的BP算法Matlab实现[J].计算机与现代化,2012(5):20-22. |
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| 作者姓名： | 杜华英 |
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| 作者单位： | 惠州商贸旅游学校信息技术教研室,广东惠州,516057 |
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| 摘 要： | 车型识别具有广阔的应用前景,BP神经网络在车型识别中能够提高车型的识别率。在任何车型大致都可以抽象成一个"工"字型情况下,提取其中的顶长比、前后比和顶高比这三项相对参数作为BP神经网络的输入参数。采用三层3-8-3的BP神经网络,并用14对输入参数离线训练,再用4对新数据进行检验,均得到了预想的期望值。
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| 关 键 词： | 车型识别 BP神经网络 Matlab |
Implementation of BP Algorithm Using Matlab Based on Vehicle Type Recognition |
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| DU Hua-ying.Implementation of BP Algorithm Using Matlab Based on Vehicle Type Recognition[J].Computer and Modernization,2012(5):20-22. |
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| Authors: | DU Hua-ying |
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| Affiliation: | DU Hua-ying(Information Technology Office,Huizhou School of Business ＆ Tourism,Huizhou 516057,China) |
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| Abstract: | Vehicle type recognition has a wide future application prospect.BP artificial neural network can improve the recognition rate of vehicle type in the vehicle type automatic recognition system.Any vehicle type can be Abstracted into a ＂工＂-shaped mode.Three relative parameters are used as the input parameters of BP ANN.A three layered 3-8-3 BP ANN is adopted and is trained by 14 pair input parameters.The BP ANN is tested by 4 pair input parameters and then some expected values are obtained in this processing. |
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| Keywords: | vehicle type recognition BP neural network Matlab |
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