Author:
Cai Jiejin,Li Xuezhong,Tan Zhixiong,Peng Sitao
Funder
National Natural Science Foundation of China
Subject
Nuclear Energy and Engineering
Reference14 articles.
1. PWR system simulation and parameter estimation with neural networks;Akkurt;Ann. Nucl. Energy,2002
2. Alim, F., Ivanov, K.N. et al., 2008. New genetic algorithms (GA) to optimize PWR reactors: Part II: Simultaneous optimization of loading pattern and burnable poison placement for the TMI-1 reactor. 35 (1) 121–131.
3. Compressed sensing artificial neural network for reactor core flux mapping;Bahuguna;IEEE Trans. Nucl. Sci.,2018
4. Cai, J., 2012. Applying support vector machine to predict the critical heat flux in concentric-tube.
5. Ke, G., Meng, Q., et al., 2017. Lightgbm: A highly efficient gradient boosting decision tree.
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