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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2003年第17期22-23,28,共3页
Computer Engineering
关键词
神经网络
专家系统
X射线
焊缝
缺陷识别
Neural network
Expert system
X-rays
Weld seam
Defects distinguishing
