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과도유동 해석을 위한 CNN에서의 이미지 변환방법
- 박진현;
- 이태환
초록
To apply CNN to a fluid problem, we need a method to effectively convert the physical quantities of fluid into an image. The performance of CNN was evaluated using the image transformation method using the minimum and maximum values of the pressure distribution data and the image transformation methods using the normal distribution of the pressure distribution data. Through the performance evaluation of the learned CNN, the image transformation methods of Method 4 and Method 5, which applied the normal distribution of representative pressure distribution data, were very effective. In particular, Method 5 includes the initial and final pressure distribution data to include overall pressure distribution data, thereby improving the resolution of the color map to improve classification performance.
키워드
- 제목
- 과도유동 해석을 위한 CNN에서의 이미지 변환방법
- 제목 (타언어)
- Image Conversion Methods in CNN for Transient Flow Analysis
- 저자
- 박진현; 이태환
- 발행일
- 2020
- 저널명
- 한국기계기술학회지
- 권
- 22
- 호
- 4
- 페이지
- 712 ~ 719
- 언어
- KOR
- 출판사
- 한국기계기술학회
- 발행국가
- 대한민국
- 분량
- 8 페이지
- ISSN
- E 2508-3805
P 1229-604X