Research on Transmission Line Defect Prediction Algorithm Based on Deep Isolation Forest
Based on YOLO,a transmission line defect detection model is constructed,the transmission line inspection image is initialized and feature extraction is performed.The extracted features are used as model inputs,and the deep isolation forest algorithm is used to predict transmission line defects.Experiments show that this method can improve prediction accuracy and shorten prediction time.
deep isolated foresttransmission linedefect predictionrisk valueYOLO
万方数据
维普
