1 오성우, "딥러닝 기반 항생제 내성균 감염 예측" 한국전자거래학회 24 (24): 105-120, 2019
2 이동훈, "기후 및 계절정보를 이용한 딥러닝 기반의 장기간 태양광 발전량 예측 기법" 한국전자거래학회 24 (24): 1-16, 2019
3 강장하, "강화학습기법의 동적일정계획에의 적용가능성에 대한 소고" 공학기술연구원 10 (10): 453-456, 2017
4 Quadt, D., "Simulation-based Scheduling of Parallel Wire-bonders with Limited Clamp & Paddles" 1887-1892, 2006
5 Chung, B. S., "Setup change scheduling for semiconductor packaging facilities using a genetic algorithm with an operator recommender" 27 (27): 377-387, 2014
6 Zhang, S., "On Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks" 2017
7 Huh, J. S., "Learning to Dispatch Operations with Intentional Delay for Re-Entrant Multiple-Chip Product Assembly Lines" 10 (10): 1-21, 2018
8 Swietojanski, P, "Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models" 171-176, 2014
9 Kim, A. K, "Ensemble-based Quality Classification and Deep Reinforcement Learning-based Production Scheduling :Ensemble-based Quality Classification and Deep Reinforcement Learning-based Production Scheduling" KyungHee University 2018
10 Gabel, T, "Distributed policy search reinforcement learning for job-shop scheduling tasks" 41-61, 2012
1 오성우, "딥러닝 기반 항생제 내성균 감염 예측" 한국전자거래학회 24 (24): 105-120, 2019
2 이동훈, "기후 및 계절정보를 이용한 딥러닝 기반의 장기간 태양광 발전량 예측 기법" 한국전자거래학회 24 (24): 1-16, 2019
3 강장하, "강화학습기법의 동적일정계획에의 적용가능성에 대한 소고" 공학기술연구원 10 (10): 453-456, 2017
4 Quadt, D., "Simulation-based Scheduling of Parallel Wire-bonders with Limited Clamp & Paddles" 1887-1892, 2006
5 Chung, B. S., "Setup change scheduling for semiconductor packaging facilities using a genetic algorithm with an operator recommender" 27 (27): 377-387, 2014
6 Zhang, S., "On Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks" 2017
7 Huh, J. S., "Learning to Dispatch Operations with Intentional Delay for Re-Entrant Multiple-Chip Product Assembly Lines" 10 (10): 1-21, 2018
8 Swietojanski, P, "Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models" 171-176, 2014
9 Kim, A. K, "Ensemble-based Quality Classification and Deep Reinforcement Learning-based Production Scheduling :Ensemble-based Quality Classification and Deep Reinforcement Learning-based Production Scheduling" KyungHee University 2018
10 Gabel, T, "Distributed policy search reinforcement learning for job-shop scheduling tasks" 41-61, 2012
11 Zhang, Y, "Design and Analysis of a General Recurrent Neural Network Model for Time-Varying Matrix Inversion" 16 (16): 1477-1490, 2005
12 Jeong, H. S., "An Neural Network Approach to Job-shop Scheduling based on Reinforcement Learning" 47-48, 2018
13 Shin, H. J., "Adaptive scheduling algorithm for manufacturing process with nonstationary rework probabilities using reinforcement learning" 1180-1180, 2010
14 Shahrabi, J., "A reinforcement learning approach to parameter estimation in dynamic job shop scheduling" 110 : 75-82, 2017