信阳师范学院学报（自然科学版）Issue(1)：120-123,4.DOI:10.3969/j.issn.1003-0972.2016.01.029
基于神经网络的激光超声探伤表面波的分类
Classification of Surface Wave by Laser Ultrasonic Flaw Detection Based on Neural Network
摘要
Abstract
The surface wave was classified by using three kinds of neural networks ,i e. .self‐organizing com‐petition neural network ,learning vector quantization(LVQ) neural network and probabilistic neural network (PNN) .Several experiments on different input situations for the three kinds of neural networks were discussed . Experimental results indicated that three kinds of neural networks had good performances in the classification .关键词
自组织竞争神经网络/学习向量量化(LVQ)神经网络/概率神经网络(PNN)/缺陷检测Key words
self-organizing competition neural network/LVQ neural network/PNN/defect detection分类
信息技术与安全科学引用本文复制引用
王晓燕,刘辉,苏纯,白艳萍..基于神经网络的激光超声探伤表面波的分类[J].信阳师范学院学报（自然科学版）,2016,(1):120-123,4.基金项目
国家自然科学基金项目 （）
