Author:
Yang Linjun,Miao Zhuang,Li Tong,Tan Sichao,Wang Bo,Li Dongyang,Liu Yongchao,Wei Hengyuan,Li Jiajun,Li Jiangkuan,Wen Jiming,Xu Zhao,Tian Ruifeng
Reference29 articles.
1. Abadi, M., Agarwal, A., Barham, P., et al., 2016. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467.
2. Nuclear energy for district cooling systems – novel approach and its eco-environmental assessment method;Abushamah;Energy,2022
3. Continuous machine learning for abnormality identification to aid condition-based maintenance in nuclear power plant;Ayo-Imoru;Ann. Nucl. Energy,2018
4. Accident parameter prediction method for lead-bismuth cooled reactor based on a multivariate LSTM network coupled with an optimization algorithm;Chen;Ann. Nucl. Energy,2023
5. Machine learning approaches to equilibrium burnup analysis for Molten Salt Reactor;Chen;Ann. Nucl. Energy,2023