神经网络在电磁无损检测中的应用

Application of Neural Network in Eddy Current Testing

研究了在涡流检测中用神经网络对经过不同热处理工艺所得工件进行分类的方法 ,针对BP神经网络学习算法的不足 ,提出了改进算法 ,提高了网络分类的可靠性。做到了所需特征参数少 。

The classification of different treated material by neural network in eddy current testing was study. In light of the shortage of BP neural network strddy algorithm, an improved algorithm was put forward to heighten the reliability of classification, so that less characteristic parameters were needed and were quick and reliable.