摘要
介绍了小波变换和人工神经网络在无损检测中的工作原理,分析了小波变换处理非平稳信号提取特征值、人工神经网络进行模式识别的优点,并提出小波、人工神经网络以及松散型和紧致型小波神经网络在木质材料的无损检测中的应用。
The principles of wavelet transmission and the application of artificial neural network in non-destruction testing(NDT)were reviewed and presented in this paper. Two types of wavelet and artificial neural network methods of NDT for wood materials were studied: laxation and densification. The advantages of wavelet transmission in getting eigenvalue and the merits of artificial neural network in realizing pattern recognition were described.
出处
《木材工业》
2004年第5期24-26,33,共4页
China Wood Industry
关键词
小波变换
人工神经网络
无损检测
木质材料
Wavelet transform
Artificial neural network
Non-destructive test (NDT)
Wood materials
