北京航空航天大学学报 ›› 2001, Vol. 27 ›› Issue (5): 564-568.

• 论文 • 上一篇    下一篇

人工神经网络技术在光电检测中的应用

张广军   

  1. 北京航空航天大学 自动控制系
  • 收稿日期:2000-08-18 出版日期:2001-05-31 发布日期:2010-09-27
  • 作者简介:张广军(1965-),男,天津人,教授,100083,北京.

Applications of Artificial Neural Network to Opto Electric Measurements

ZHANG Guang   

  1. Beijing University of Aeronautics and Astronautics, Dept. of Automatic Control
  • Received:2000-08-18 Online:2001-05-31 Published:2010-09-27

摘要: 人工神经网络不仅被广泛用于人工智能、自动控制、机械人、统计学等领域的信息处理中,还越来越多地被应用于光电检测.综述了人工神经网络技术在光电检测中的最新应用进展,重点讨论了人工神经网络技术在谷物蛋白质含量近红外在线监测、结构光三维视觉检测、焊缝缺陷射线实时成像识别、表面粗糙度及球半径精密测量应用中的优点和局限性,以期进一步推动本领域的研究和发展.

Abstract: Artificial neural network technology is getting wider and wider scale application. Following a brief introduction on neural network, its recent applications to optoelectric measurements were described in detail, including online monitoring grain protein based on NIR, structured light based 3D vision inspection, X ray real time detection of welding seam defect, and precision measurements of surface roughness and sphere radius. By summarizing its advantages and limitations in these applications, suggestions and comments were given for further research efforts in this field.

中图分类号: 


版权所有 © 《北京航空航天大学学报》编辑部
通讯地址:北京市海淀区学院路37号 北京航空航天大学学报编辑部 邮编:100191 E-mail:jbuaa@buaa.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发