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人工神经网络在超声无损检测中的应用
引用本文:陈彦华,李明轩.人工神经网络在超声无损检测中的应用[J].应用声学,1996,15(3):40-44.
作者姓名:陈彦华  李明轩
作者单位:中国科学院学声学研究所!北京1000800
摘    要:人工神经网络对于超声无损检测的发展具有重要的意义,本文对国内外人工神经网络在超声无损检测中应用研究做了较为详细的介绍和分析,指出人工神经网络是实现超声无损检测测定量化的有效途径。

关 键 词:神经网络  无损检测  超声波探伤

Application of Artificial Neural Network to Ultrasonic Nondestructive Testing
Yanhua Chen and Mingxuan Li.Application of Artificial Neural Network to Ultrasonic Nondestructive Testing[J].Applied Acoustics,1996,15(3):40-44.
Authors:Yanhua Chen and Mingxuan Li
Affiliation:Institute of Acoustics, Chinese Academy of Sciences ,Beijing 100080;Institute of Acoustics, Chinese Academy of Sciences ,Beijing 100080
Abstract:Artificial Neural Network helps a lot in the development of ultrasonic nondestructive testing. Some such achievements are reviewed in this paper. It is concluded that antificial neural network is an effective means to quantitative ultrasonic nondestructive testing.
Keywords:Artificial neural network  Utrasonic nondestructive testing
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