Use BP neural network to quantitatively recognize pipeline defect parameter, the error of recognition result is below 10%, and requirement of practical inspection can be completely fulfilled.
应用BP神经网络进行了管道缺陷参数的定量识别，识别结果的误差小于10%，完全满足实际检测的要求。
Use BP neural network to quantitatively recognize pipeline defect parameter, the error of recognition result is below 10%, and requirement of practical inspection can be completely fulfilled.
应用BP神经网络进行了管道缺陷参数的定量识别，识别结果的误差小于10%，完全满足实际检测的要求。
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