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基于车型识别的BP算法Matlab实现

杜华英

计算机与现代化Issue(5):20-22,3.
计算机与现代化Issue(5):20-22,3.DOI:10.3969/j.issn.1006-2475.2012.05.007

基于车型识别的BP算法Matlab实现

Implementation of BP Algorithm Using Matlab Based on Vehicle Type Recognition

杜华英1

作者信息

  • 1. 惠州商贸旅游学校信息技术教研室,广东惠州516057
  • 折叠

摘要

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 "X"-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.

关键词

车型识别/BP神经网络/Matlab

Key words

vehicle type recognition/ BP neural network/ Matlab

分类

信息技术与安全科学

引用本文复制引用

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):20-22,3.

计算机与现代化

OACSTPCD

1006-2475

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