Package Flow Models by Neural Network Representation for Understanding the Dynamic Behavior of Nuclear Reactor Systems.
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- MATSUOKA Hiroshi
- Science and Technology Agency Doctoral student of Ibaraki University
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- ISHIGURO Misako
- Faculty of Engineering, Ibaraki University
Bibliographic Information
- Other Title
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- Package Flow Models by Neural Network R
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Abstract
"Package Flow Model" (PFM) is a simple simulation model for intuitive understanding of various types of system dynamics. In the previous papers, the PFM was proposed and its application to the dynamic analysis of nuclear reactor systems was presented. In the present paper, the same model and same application are considered but a new representation method of the PFMs by a neural network is introduced, so that the dynamic simulation of the reactor subsystem can be performed through the calculation of corresponding neural network. Furthermore, the quasi optimum parameter values of each PFM are easily obtained by applying appropriate learning algorithm to get weight-values of the neural network. Some case studies show that the learning process and the obtained optimum values can give us new useful information on approximate understanding of the dynamic behavior of actual processes in the system.
Journal
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- Journal of Nuclear Science and Technology
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Journal of Nuclear Science and Technology 33 (9), 675-685, 1996
Atomic Energy Society of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679070542592
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- NII Article ID
- 10002075401
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- NII Book ID
- AA00703720
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- COI
- 1:CAS:528:DyaK28XmsVeis7g%3D
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- ISSN
- 18811248
- 00223131
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- NDL BIB ID
- 4060424
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed