无线电通信技术2011，Vol.37Issue(5)：55-57,61,4.
小波神经网络在电磁无损检测中的应用
Application of Wavelet Neural Network in the ENDT
董巍巍 1李钊 2李建军 1张瑞民 1蒲源1
作者信息
- 1. 第二炮兵青州士官学校,山东青州262500
- 2. 第二炮兵驻石家庄地区军事代表室,河北石家庄050081
- 折叠
摘要
Abstract
Based on orthogonal wavelet transform wavelet neural network model of structure, this paper puts forward a new algorithm of wavelet neural network on the basis of selecting B-wavelet for wavelet base. The method of selecting typical training samples is used to enhance the wavelet neural network, and the wavelet neural network is used to implement the compression and reconstruction for the wire rope electromagnetic nondestructive testing signals. The experimental results indicate that the wavelet neural network can perform the intelligentized detection for defects signals. Compared to traditional identification methods, the accuracy rate of the wavelet neural network algorithm is significantly improved.关键词
小波神经网络/信号/算法/无损检测Key words
wavelet neural network/signal/algorithm/NDT分类
信息技术与安全科学引用本文复制引用
董巍巍,李钊,李建军,张瑞民,蒲源..小波神经网络在电磁无损检测中的应用[J].无线电通信技术,2011,37(5):55-57,61,4.
