Prediction of golden time for recovering SISs using deep fuzzy neural networks with rule-dropout

Nuclear Engineering and Technology - Tập 53 - Trang 4014-4021 - 2021
Hye Seon Jo1, Young Do Koo2, Ji Hun Park1, Sang Won Oh1, Chang-Hwoi Kim2, Man Gyun Na1
1Department of Nuclear Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju, 61452, Republic of Korea
2Korea Atomic Energy Research Institute, 989-111 Daedeok-daero, Yuseong-gu, Daejeon, 34039, Republic of Korea

Tài liệu tham khảo

Yoo, 2016, Prediction of golden time using SVR for recovering SIS under severe accidents, Ann. Nucl. Energy, 94, 102, 10.1016/j.anucene.2016.02.029 Yun, 2020, Collapse moment estimation for wall-thinned pipe bends and elbows using deep fuzzy neural networks, Nucl. Eng. Technol., 52, 2678, 10.1016/j.net.2020.05.006 An, 2020, Critical flow prediction using simplified cascade fuzzy neural networks, Ann. Nucl. Energy, 136, 107047, 10.1016/j.anucene.2019.107047 Jo, 2020, Prediction of NPP containment states using deep fuzzy neural networks during LOCAs, 17–18 2010 Saghafi, 2019, Real-time estimation of break sizes during LOCA in nuclear power plants using NARX neural network, Nucl. Eng. Technol., 51, 702, 10.1016/j.net.2018.11.017 Yoo, 2017, Identification of LOCA and estimation of its break size by multiconnected support vector machines, IEEE Trans. Nucl. Sci., 64, 2610, 10.1109/TNS.2017.2743098 Koo, 2019, Nuclear reactor vessel water level prediction during severe accidents using deep neural networks, Nucl. Eng. Technol., 51, 723, 10.1016/j.net.2018.12.019 Park, 2021, Leak flow prediction during loss of coolant accidents using deep fuzzy neural networks, Nucl. Eng. Technol., 53, 2547, 10.1016/j.net.2021.01.040 Koo, 2021, Prediction of the internal states of a nuclear power plant containment in LOCAs using rule-dropout deep fuzzy neural networks, Ann. Nucl. Energy, 156, 108180, 10.1016/j.anucene.2021.108180 Srivastava, 2014, Dropout: a simple way to prevent neural networks from overfitting, J. Mach. Learn. Res., 15, 1929 McCall, 2005, Genetic algorithms for modelling and optimisation, J. Comput. Appl. Math., 184, 205, 10.1016/j.cam.2004.07.034 Duan, 2001, Cascaded fuzzy neural network model based on syllogistic fuzzy reasoning, IEEE Trans. Fuzzy Syst., 9, 293, 10.1109/91.919250 Takagi, 1985, Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Syst. Man Cybern. SMC-, 15, 116, 10.1109/TSMC.1985.6313399 Dhanachandra, 2015, Image segmentation using k-means clustering algorithm and subtractive clustering algorithm, Procedia Computer Science, 54, 764, 10.1016/j.procs.2015.06.090 Chen, 2007, Support vector regression with genetic algorithms in forecasting tourism demand, Tourism Manag., 28, 215, 10.1016/j.tourman.2005.12.018