1 |
Y. LeCun, Y. Bengio, G. Hinton, Deep Learning, Nature 521 (2015) 436-444.
DOI
|
2 |
D. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Massachusetts, 1989.
|
3 |
M. Mitchell, An Introduction to Genetic Algorithms, MIT Press, Massachusetts, 1996.
|
4 |
D. Rumelhart, G. Hinton, R. Williams, Learning representations by backpropagating errors, Nature 323 (1986) 533-536.
DOI
|
5 |
R. Henry, et al., MAAP4: Modular Accident Analysis Program for the LWR Power Plants, User's Manual, Fauske and Associates Inc., 1994-2005.
|
6 |
D.Y. Kim, K.H. Yoo, G.P. Choi, J.H. Back, M.G. Na, Reactor vessel water level estimation during severe accidents using cascaded fuzzy neural networks, Nucl. Eng. Tech. 48 (3) (2016) 702-710.
DOI
|
7 |
M.G. Na, On-line estimation of DNB protection limit via a fuzzy neural network, Nucl. Eng. Tech. 30 (3) (1998) 222-234.
|
8 |
M.G. Na, Y.J. Lee, I.J. Hwang, A smart software sensor for feedwater flow measurement monitoring, IEEE Trans. Nucl. Sci. 52 (6) (2005) 3026-3034.
DOI
|
9 |
D. Lewy, ANN Activation Function - Comparison, PyData Warsaw, Warsaw, Poland, 2017. October 18-20, 2017.
|
10 |
A. Ng, K. Katanforoosh, Y.B. Mourri, Neural Networks and Deep Learning, Coursera, 2017.
|
11 |
M.G. Na, W.S. Park, D.H. Lim, Detection and diagnostics of loss of coolant accidents using support vector machines, IEEE Trans. Nucl. Sci. 55 (1) (2008) 628-636.
DOI
|
12 |
S.H. Lee, Y.G. No, M.G. Na, K.I. Ahn, S.Y. Park, Diagnostics of loss of coolant accidents using SVC and GMDH models, IEEE Trans. Nucl. Sci. 58 (1) (2011) 267-276.
DOI
|
13 |
K.H. Yoo, Y.D. Koo, M.G. Na, Identification of LOCA and estimation of its break size by multiconnected support vector machines, IEEE Trans. Nucl. Sci. 64 (10) (2017) 2610-2617.
DOI
|