计算机科学与应用  >> Vol. 2 No. 2 (June 2012)

基于BP网络的手部气味识别
A Recognition Model of Hand Odor Based on BP Artificial Network

DOI: 10.12677/CSA.2012.22011, PDF, HTML,  被引量 下载: 2,519  浏览: 6,976  科研立项经费支持

作者: 龙成生:南京警犬研究所;王 辛, 吴德华, 张汇东, 宋珍华

关键词: 手部气味模式识别BP网络Hand Odor; Pattern Recognition; BP Network

摘要: 本文建立了一个基于BP人工神经网络的手部气味识别模型,并对网络参数进行了选择优化。人体手部气味经样品采集、浓缩后,用气相色谱质谱联用仪对其进行分析获得手部气味轮廓图,并利用逐步判别分析法提取了手部气味轮廓图的47个特征变量(有机化合物)。在此基础上,构建了一个47 × 10 × 1BP网络,其隐含层和输出层的传递函数分别为tansiglogsig,训练函数为trainrp。该网络能正确区分不同性别的手部气味。
Abstract: A recognition model has been developed based on Back Propagation Artificial Network and its net parame- ters were optimized. Hand odors were sampled, concentrated and then analyzed with Chromatography-Mass Spectrometer, resulting in hand odor profiles whose feature variables (47 organic compounds) were extracted and reduced by means of stepwise discriminant analysis. In sequence, a BP network, in which the structure was 47 × 10 × 1, the transfer functions for hidden layer and output layer tansig and logsig, respectively, and the training function trainrp, was pro- posed. The experiment demonstrated that the network was able to specify whether an odor sample had been from man hand or woman hand.

文章引用: 龙成生, 王辛, 吴德华, 张汇东, 宋珍华. 基于BP网络的手部气味识别[J]. 计算机科学与应用, 2012, 2(2): 57-60. http://dx.doi.org/10.12677/CSA.2012.22011

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