一种基于神经网络和D-S推理的数据融合结构及其在超声检测中的应用

A Data Fusion Structure Based on Neural Network and D-S Inference and Its Application in Ultrasonic Detection

用一种将 D- S证据理论与人工神经网络相结合的数据融合方法 ,研究了超声无损检测中不连续性的识别与分类的方法。

This paper gives a data fusion method based on the combination of D S inference and artificial neural network. The research of recognition and classification in ultrasonic nondestructive testing is carried out. The advantage and feasibility of the method is analyzed.