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中文摘要：
利用3种神经网络即自组织竞争神经网络、学习向量量化神经网络和概率神经网络对激光超声探伤缺陷表面波进行分类.讨论了3种网络在不同输入情况下的分类效果.实验结果表明,这3种神经网络都可以取得良好的分类效果.
英文摘要：
The surface wave was classified by using three kinds of neural networks, i.e. self-organizing competition 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.
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