With the wide application of the deep learning algorithm in the field of PD pattern recognition, it makes up for the disadvantages of the traditional method, at the same time, it can solve the problems of traditional machine learning methods such as poor performance and under-fitting when the training sample size is large.By training the convolutional neural network to recognize the PRPD maps, not only can we avoid the complex feature extraction of statistical data, but also can greatly improve the work efficiency and the accuracy of localization type recognition. For this reason, this paper i...
