Title :
The application of Artificial Neural Network in nuclear energy
Author :
Guo, Yun ; Gong, Cheng ; Zeng, He-yi
Author_Institution :
Harbin Eng. Univ., Harbin, China
Abstract :
Nuclear power system shows very typical nonlinear characteristics in many aspects. Sometimes the system´s safety must suffer from the inconvenience which induced by the nonlinear characteristic, such as system control problem, safety analysis, correlation application range, and so on. Artificial Neural Network (ANN) as the simulation technology of human brain can deal with some inherent essences of complex system. Many researchers try to import this method into nuclear energy field. In this paper, some representative usages of ANN in nuclear field are introduced roundly. After that some existed problems are discussed and some suggestions are given.
Keywords :
artificial intelligence; neural nets; nuclear power stations; power engineering computing; artificial neural network; nuclear energy; nuclear power system; safety analysis; simulation technology; system control problem; Accuracy; Artificial neural networks; Correlation; Fuels; Inductors; Mathematical model; Safety;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580898