Controller fatigue state detection based on es-dfnn

HIGHLIGHTS

  • who: Haijun Liang and collaborators from the College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan, China have published the Article: Controller Fatigue State Detection Based on ES-DFNN, in the Journal: Aerospace 2021, 8, 383. of /2021/
  • what: Comparing the VGG16 model, InceptionV3 model, ResNet50 model and the DFNN model presented in this paper on the ImageNet competition classification task, the comparison results of accuracy and loss rate are shown in Figure 12, the recall rate, recognition accuracy, F1 score, loss rate, AUC, model size, running time and training time are . . .

     

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