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Artificial Neural Network and its Application in Ultrasonic Testing Device

机译:人工神经网络及其在超声检测仪中的应用

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This paper presented application of nondestructive testing based on artificial neural network technology. And the paper mainly analyzed organizing structural and setting parameters of artificial neural network (error back propagation, BP for short) algorithm. Form organizing structural and setting parameters of artificial neural network and training and testing the neural network, according to nondestructive testing system was uncertain, the paper set up the model of the nondestructive testing system by using BP neural network. And combination of application special instance, the model was applied in ultrasonic nondestructive testing.
机译:本文介绍了基于人工神经网络技术的无损检测的应用。并且本文主要分析了人工神经网络算法的组织结构和设置参数(误差回传,简称BP)算法。通过组织人工神经网络的结构和设置参数,并对神经网络进行训练和测试,针对无损检测系统的不确定性,本文利用BP神经网络建立了无损检测系统的模型。并结合应用实例,将该模型应用于超声无损检测。

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