In this paper, defects for NDT are classified with neural network which USES features extracted from signal processing. Then classification results from networks are fused with fuzzy integral.
在无损检测信号处理和特征构造的基础上，用神经网络对缺陷进行识别，然后运用模糊积分对多个神经网络的分类结果进行融合。
In this paper, defects for NDT are classified with neural network which USES features extracted from signal processing. Then classification results from networks are fused with fuzzy integral.
在无损检测信号处理和特征构造的基础上，用神经网络对缺陷进行识别，然后运用模糊积分对多个神经网络的分类结果进行融合。
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