A Procedure Performing System using Deep Learning Algorithm for Nuclear Power Plant

Author(s):  
Jeeyea Ahn ◽  
Seung Jun Lee
2022 ◽  
Vol 167 ◽  
pp. 108765
Author(s):  
Zixiao Yang ◽  
Peng Xu ◽  
Biao Zhang ◽  
Chuanlong Xu ◽  
Liming Zhang ◽  
...  

2014 ◽  
Vol 701-702 ◽  
pp. 219-222
Author(s):  
Chun Yang Liu ◽  
Jing Wei Zhang ◽  
Xue Feng Zheng ◽  
Xu Yan Tu

In this paper, an algorithm concerning the primitive action affordances of learning nuclear power plant maintenance robot is presented. The algorithm generates a random matching data set through a new matching method, which is utilized for the selection of object operation, with the matching rate improved by trial and error, and then the attempt number for a successful operation is reduced. In the end, simulation is conducted to verify the feasibility and correctness of the proposed algorithm.


2020 ◽  
Vol 137 ◽  
pp. 107111 ◽  
Author(s):  
Victor Henrique Cabral Pinheiro ◽  
Marcelo Carvalho dos Santos ◽  
Filipe Santana Moreira do Desterro ◽  
Roberto Schirru ◽  
Cláudio Márcio do Nascimento Abreu Pereira

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