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基于神经网络的焊缝缺陷识别专家系统
引用本文:张晓光,李浴,徐健健.基于神经网络的焊缝缺陷识别专家系统[J].计算机工程,2003,29(17):22-23,28.
作者姓名:张晓光  李浴  徐健健
作者单位:1. 南京大学应用物理研究所,南京,210093;中国矿业大学机电与材料工程学院,徐州,221008
2. 中国矿业大学机电与材料工程学院,徐州,221008
3. 南京大学应用物理研究所,南京,210093
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
文章编号:1000-3428(2003)17-0022-02

Weld Seam Defects Distinguishing Expert System Based on Neural Network
ZHANG Xiaoguang,LI Yu,XU Jianjian.Weld Seam Defects Distinguishing Expert System Based on Neural Network[J].Computer Engineering,2003,29(17):22-23,28.
Authors:ZHANG Xiaoguang    LI Yu  XU Jianjian
Affiliation:ZHANG Xiaoguang1,2,LI Yu2,XU Jianjian1
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.
Keywords:Neural network  Expert system  X-rays  Weld seam  Defects distinguishing
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