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基于BP神经网络的车型分类器

胡方明;简琴;张秀君   

  1. (西安电子科技大学 电子工程学院,陕西 西安 710071)

  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2005-06-20 发布日期:2005-06-20

The classifier of car types using BP neural networks

HU Fang-ming;JIA Qin;ZHANG Xiu-jun

  

  1. (School of Electronic Engineering, Xidian Univ., Xi′an 710071, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2005-06-20 Published:2005-06-20

摘要: 针对车型特征,提出了一种基于BP神经网络的识别方法.从图像中提取车型特征向量,用BP神经网络设计分类器,并进行有效的训练与测试.应用改进的BP算法(尺度化共轭梯度法)对网络进行训练,使网络很快得到收敛,解决了一般算法收敛慢的缺陷.

关键词: BP神经网络, 车型分类器, BP算法

Abstract: In view of the features of car types, this paper proposes a recognition method based on the BP neural network: first, pick up feature vectors of car types; then, we design the classifier using BP, and train it effectively; finally, this BP classifier can recognize the test samples. This paper mainly trains networks using the SCG algorithm. This algorithm can make the network converge quickly, thus solving the limitation of slow convergence of the common algorithm.

Key words: BP neural network, classifier of can types, BP(Back Propagation) algorithm

中图分类号: 

  • TP183