摘要
介绍了人工神经网络中的BP网络、RBF网络、Hamming网络、BP-Hamming网络在声发射信号模式识别中的应用现状,并对这些方法的优缺点进行了比较。
The state of application the BP network, RBF network, Hamming network and BP-Hamming network of the artificial neural networks in pattern recognition of acoustic emission signals is introduced. The advantages and disadvantages of these methods are compared.
出处
《应用声学》
CSCD
北大核心
2003年第1期44-47,共4页
Journal of Applied Acoustics
关键词
声发射信号
神经网络
模式识别
Neural network, Acoustic emission, Pattern recognition
