摘要
通过对射线检测焊缝缺陷特征的分析 ,提出了用于焊缝缺陷识别的模糊神经网络模型 ,介绍了隶属度的构造和BP网络学习算法。实验表明 。
Through the analysis on the radiation detection on characteristics of defects of weld lines the fuzzy neural network model used for defect recognition of weld lines is stated. The structure of subordination and BP learning algorithm are introduced. The experiments show that the method is effective in defect recognition of weld lines.
出处
《自动化仪表》
CAS
北大核心
2003年第2期22-24,共3页
Process Automation Instrumentation