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Review on the Recent Welding Research with Application of CNN-based Deep Learning Part II: Model Evaluation and Visualizations
- 이기동;
- 이성;
- 현승균;
- 김철희
초록
With the development of deep learning technology, research on classification and regression models on welding phenomena using convolution neural networks (CNNs) are gradually increasing. Part 1 of this study introduced the characteristics of deep learning models using CNNs and their application to welding studies. In this paper, we re�viewed recent welding research papers to analyze how to evaluate CNN models and visualize the modeling output, and details of evaluation index, comparison models, and visiualization methods were explained.
키워드
Deep learning; Convolution Neural Network; Image; Welding; Evaluation; Visualization
- 제목
- Review on the Recent Welding Research with Application of CNN-based Deep Learning Part II: Model Evaluation and Visualizations
- 저자
- 이기동; 이성; 현승균; 김철희
- 발행일
- 2021-02
- 유형
- Y
- 저널명
- 대한용접접합학회지
- 권
- 39
- 호
- 1
- 페이지
- 20 ~ 26