A nuclear power plant expert system using artificial neural networks

被引：0
|
作者：
Lee, Mal rey
Jeong, Hye-Jin
Choi, Young Joon
Gatton, Thomas M.
机构：
[1] ChonBuk Natl Univ, Sch Elect & Informat Engn, JeonJu 561756, ChonBuk, South Korea
[2] Korea Inst Nucl Safety, Nucl Safety Regulat Div, Taejon 305338, South Korea
[3] Natl Univ, Sch Engn & Technol, La Jolla, CA 92037 USA
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS | 2006年 / 3972卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, ANNs are introduced to act as a bridge between detailed computer codes and compact simulators with an aim to improve the capabilities of compact expert system. The ANNs compensate for the inaccuracies of a compact expert system occurring from simplified governing equations and a reduced number of physical control volumes, and predict the critical parameter usually calculated from the sophisticated computer code. To verify the applicability of the proposed methodology, computer simulations are undertaken for loss of flow accidents (LOFA).
引用
收藏
页码：1239 / 1245
页数：7
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