Browse "Dept. of Nuclear and Quantum Engineering(원자력및양자공학과)" by Author 이연하
Showing results 1 to 5 of 5
| Applications of Neural Network to Predict Reactor Vessel Failure Time for Various Component Failures during Severe Accident 이연하; 최유정; 이정익, 한국원자력학회 2022 춘계학술발표회, 한국원자력학회, 2022-05-19 |
| Applications of Supervised Machine Learning to Diagnose Reactor Vessel Failure 이연하; 송규상; 이정익, 한국원자력학회 2022 추계학술발표회, 한국원자력학회, 2022-10-20 |
| Development of a Real-time Interactive Nuclear Power Plant Accident Simulation Using Supervised Learning 송석호; 이연하; 이정익, 한국원자력학회 2022춘계학술발표회, 한국원자력학회, 2022-05 |
| Development of accelerated prediction method using artificial neural network for nuclear power plant severe accident application = 원자력 발전소 중대사고 적용을 위한 인공신경망 기반 가속 예측 방법 개발link Lee, Yeonha; Lee, Jeong Ik; et al, 한국과학기술원, 2022 |
| Inferring Severe Accident Scenarios in Nuclear Power Plants with Reinforcement Learning (RL) and Supervised Learning (SL) Approaches: Part2 RL Development 송석호; 이연하; 주세민; 이정익; 김성중, 한국원자력학회 2023춘계학술발표회, 한국원자력학회, 2023-05 |
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