Intelligent evaluation method based on attention mechanism and improved dynamic ReLU for power transmission and transformation engineering drawings
Aiming at the problems of poor classification effect and low accuracy of traditional recognition methods for power transmission and transformation engineering drawings,an intelligent evaluation method based on depth learning for engineering drawings was proposed according to attention mechanism and improved dynamic ReLU.By using the basic Xception network and dynamic ReLU function,the classification effect of small sample data was optimized,the ReLU parameter allocation of sample data was optimized,the weight allocation of feature map in neural network algorithm was deepened by introducing improved attention mechanism module,and the classification effect of engineering drawings was further enhanced.The simulation results show that the intelligent evaluation method based on deep learning for engineering drawings has better classification effect than the traditional methods.
power transmission and transformation engineering drawingimproved SE moduleReLU functiondeep learningXception networkimage recognitionimage classificationconvolutional neural network
万方数据
维普
