Package Flow Models by Neural Network Representation for Understanding the Dynamic Behavior of Nuclear Reactor Systems.

DOI Web Site 被引用文献2件 参考文献6件

書誌事項

タイトル別名
  • Package Flow Models by Neural Network R

この論文をさがす

抄録

"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.

収録刊行物

被引用文献 (2)*注記

もっと見る

参考文献 (6)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ