Browse "Dept. of Nuclear and Quantum Engineering(원자력및양자공학과)" by Subject 유체가속부식▼a기계학습▼a수렴 신경망▼a서포트 벡터 머신▼a장 단기 기억 네트워크
Showing results 1 to 1 of 1
| (A) study on diagnosis of NPP's pipe thinning status by using accelerometer and machine learning algorithms = 가속계와 기계학습 방법론을 이용한 원자력 발전소 배관감육 진단에 관한 연구link Chae, Young Ho; Seong, Poong Hyun; et al, 한국과학기술원, 2018 |
Discover
Type
- 2,799 Article
- 5,616 Conference
- 430 Patent
- 918 Thesis(Master)
- 546 Thesis(Ph.D)
Open Access
- 152 OA Article
Date issued
- 1,240 2020 - 2024
- 4,359 2010 - 2019
- 2,657 2000 - 2009
- 1,431 1990 - 1999
- 449 1980 - 1989