Review on the Recent Welding Research with Application of CNN-based Deep Learning Part II: Model Evaluation and Visualizations

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 learningConvolution Neural NetworkImageWeldingEvaluationVisualization
제목
Review on the Recent Welding Research with Application of CNN-based Deep Learning Part II: Model Evaluation and Visualizations
저자
이기동이성현승균김철희
DOI
10.5781/JWJ.2021.39.1.2
발행일
2021-02
유형
Y
저널명
대한용접접합학회지
39
1
페이지
20 ~ 26