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›› 2003, Vol. 29 ›› Issue (17): 22-.

• 论文 • 上一篇    下一篇

基于神经网络的焊缝缺陷识别专家系统

张晓光,徐健健,李浴   

  1. 南京大学应用物理研究所,南京大学应用物理研究所,中国矿业大学机电与材料工程学院 南京 210093, 南京 210093; , 徐州 221008
  • 发布日期:2003-09-15

Weld Seam Defects Distinguishing Expert System Based on Neural Network

ZHANG Xiaoguang1,2, LI Yu2, XU Jianjian1   

  1. (1.Institute of Applied Physics,Nanjing University, Nanjing 210093;2.College of Mechatronic and Material Engineering , CUMT,Xuzhou 221008)
  • Published:2003-09-15

摘要: 介绍了基于神经网络的焊缝缺陷识别专家系统的基本原理、结构和识别策略。根据焊缝缺陷特征,从不同层次进行识别,用神经网络的并行处理和自学习克服了传统识别的一些不足。

关键词: 神经网络, 专家系统, X射线, 焊缝, 缺陷识别

Abstract: The paper introduces the basic principle, structure and distinguishing tactics of the weld seam defects distinguishing expert system based on neural network. According to the characters of weld seam defects, it distinguishes from different levels. Using the parallel processing and oneself learning of neural network, it overcomes some insufficiency of traditional distinguishing methods.

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