Home // INTELLI 2015, The Fourth International Conference on Intelligent Systems and Applications // View article
Authors:
Man Gyun Na
Dong Yeong Kim
Kwae Hwan Yoo
Geon Pil Choi
Keywords: Cascaded fuzzy neural network (CFNN), Fuzzy neural network (FNN), Nuclear reactor vessel water level
Abstract:
The world’s concern about nuclear reactor safety has increased considerably since the Fukushima accident. In case of most severe accidents, the nuclear reactor vessel water level cannot be measured. But, if the cascaded fuzzy neural network (CFNN) is used, under the event of severe accidents it might be possible to estimate the nuclear reactor vessel water level. The cascaded fuzzy neural network model can be used to estimate the nuclear reactor vessel water level value through the process of adding fuzzy neural networks (FNNs) repeatedly. The developed cascaded fuzzy neural network model is sufficiently accurate to be used to estimate the nuclear reactor vessel water level. Therefore, the developed cascaded fuzzy neural network model will be helpful for providing effective information for operators in severe accident situations.
Pages: 113 to 117
Copyright: Copyright (c) IARIA, 2015
Publication date: October 11, 2015
Published in: conference
ISSN: 2308-4065
ISBN: 978-1-61208-437-4
Location: St. Julians, Malta
Dates: from October 11, 2015 to October 16, 2015