摘要
本文首先用BP网络完成了涡流无损检测中缺陷的快速识别。针对BP算法存在着收敛速度慢、易陷入局部极小的缺点 ,作者将RBF(RadialBasisFunction)网络应用于涡流无损检测。结果表明RBF算法的收敛速度较BP算法快得多。RBF网络适于在线检测。
BP network is applied to ECNT (eddy current nondestructive testing) to identify defect fastly in this paper. Due to BP networks having the disadvantages of large number of iterations and local minimum values,authors use RBF network on ECNT.The results show that number of iterations are reduced faster than using BP network,and it is possible to detect online by RBF network.
出处
《电工电能新技术》
CSCD
2002年第2期64-67,共4页
Advanced Technology of Electrical Engineering and Energy
基金
河北省自然科学基金资助项目 (6 0 2 378)