Review of nuclear power plant control research: Neural network-based methods
G Zhou, D Tan - Annals of Nuclear Energy, 2023 - Elsevier
The control systems of nuclear power plants (NPPs) implement the controls of a nuclear
reactor and its power system, equipment, process, and parameters. The performance of the …
reactor and its power system, equipment, process, and parameters. The performance of the …
[HTML][HTML] A new surrogate method for the neutron kinetics calculation of nuclear reactor core transients
X Li, Y Zheng, X Du, B Xiao - Nuclear Engineering and Technology, 2024 - Elsevier
Reactor core transient calculation is very important for the reactor safety analysis, in which
the kernel is neutron kinetics calculation by simulating the variation of neutron density or …
the kernel is neutron kinetics calculation by simulating the variation of neutron density or …
EBaLM-THP–A neural network thermohydraulic prediction model of advanced nuclear system components
A Ridluan, M Manic, A Tokuhiro - Nuclear engineering and design, 2009 - Elsevier
In lieu of the worldwide energy demand, economics and consensus concern regarding
climate change, nuclear power–specifically near-term nuclear power plant designs are …
climate change, nuclear power–specifically near-term nuclear power plant designs are …
Application of cellular neural network (CNN) method to the nuclear reactor dynamics equations
K Hadad, A Piroozmand - Annals of Nuclear Energy, 2007 - Elsevier
This paper describes the application of a multilayer cellular neural network (CNN) to model
and solve the nuclear reactor dynamic equations. An equivalent electrical circuit is analyzed …
and solve the nuclear reactor dynamic equations. An equivalent electrical circuit is analyzed …
Cellular non-linear network model of microbial fuel cell
A cellular non-linear network (CNN) is a uniform regular array of locally connected
continuous-state machines, or nodes, which update their states simultaneously in discrete …
continuous-state machines, or nodes, which update their states simultaneously in discrete …
Empirical models for multidimensional regression of fission systems
The development of next-generation autonomous control of fission systems, such as nuclear
power plants, will require leveraging advancements in machine learning. For fission …
power plants, will require leveraging advancements in machine learning. For fission …
Intelligent washing machine: A bioinspired and multi-objective approach
In this paper, an intelligent method called BELBIC (Brain Emotional Learning Based
Intelligent Controller) is used to control of Locally Linear Neuro-Fuzzy Model (LOLIMOT) of …
Intelligent Controller) is used to control of Locally Linear Neuro-Fuzzy Model (LOLIMOT) of …
Deep surrogate models for multi-dimensional regression of reactor power
AJ Dave, J Wilson, K Sun - arXiv preprint arXiv:2007.05435, 2020 - arxiv.org
There is renewed interest in developing small modular reactors and micro-reactors.
Innovation is necessary in both construction and operation methods of these reactors to be …
Innovation is necessary in both construction and operation methods of these reactors to be …
Solving two-dimensional Saint venant equation by using cellular neural network
DT Vu, TC Pham - 2009 7th Asian Control Conference, 2009 - ieeexplore.ieee.org
The model of a two-dimensional shallow water equation (so-called Saint venant 2D
equation) presents the motion of water on a large lake or on the sea region. Solving this …
equation) presents the motion of water on a large lake or on the sea region. Solving this …
Numerical solution of the neutron transport equation using cellular neural networks
M Boroushaki - Annals of Nuclear Energy, 2009 - Elsevier
Various methods have been used for solving the neutron transport equation in the past, and
a number of computer codes have been developed based on these solution methods. This …
a number of computer codes have been developed based on these solution methods. This …