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.
中图分类号:
张晓光,徐健健,李浴. 基于神经网络的焊缝缺陷识别专家系统[J]. , 2003, 29(17): 22-.
ZHANG Xiaoguang1,2, LI Yu2, XU Jianjian1. Weld Seam Defects Distinguishing Expert System Based on Neural Network[J]. , 2003, 29(17): 22-.