| BP和RBF神经网络在人脸识别中的比较 |
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| 引用本文： | 朱树先,张仁杰. BP和RBF神经网络在人脸识别中的比较[J]. 仪器仪表学报, 2007, 28(2): 375-379 |
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| 作者姓名： | 朱树先 张仁杰 |
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| 作者单位： | 上海理工大学光学与电子信息工程学院,上海,200093 |
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| 摘 要： | BP和RBF是模式识别中应用最为广泛的2种神经网络，本文将这2种网络应用于人脸识别，分别建立了人脸识别模型。利用ORL人脸图像数据库进行了仿真实验，通过对比分析它们各自的识别率和泛化能力等性能指标，提出了在应用这2种神经网络进行模式识别时应注意的方面。
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| 关 键 词： | BP神经网络 RBF神经网络 离散余弦变换 特征提取 模式识别 人脸识别 |
| 修稿时间： | 2005-11-01 |
Comparison with BP and RBF neural network used in face recognition |
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| Zhu Shuxian,Zhang Renjie. Comparison with BP and RBF neural network used in face recognition[J]. Chinese Journal of Scientific Instrument, 2007, 28(2): 375-379 |
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| Authors: | Zhu Shuxian Zhang Renjie |
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| Abstract: | BP and RBF neural networks are widely applied in pattern recognition. These two methods were used for face recognition,and their face recognition models were established respectively. Simulation experiments were carried out using ORL face database. The characteristics of two neural networks,such as recognition rate and generalization ability are discussed,which should be considered in the practical applications of these two types of neural networks. |
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| Keywords: | BP neural network RBF neural network discrete cosine transform feature extraction pattern recognition face recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
