Load model of high power magnet power supply for EAST based on GMPSO-BP neural network-Reference-Cited by-同舟云学术

Load model of high power magnet power supply for EAST based on GMPSO-BP neural network

Published:2024-04 Issue: Volume:201 Page:114272
ISSN:0920-3796
Container-title:Fusion Engineering and Design
language:en
Short-container-title:Fusion Engineering and Design

Author:

Wang Junjia,Huang Yiyun,Chen Hui,Hu Hejun,Luo Junchuo

Funder

Chinese Academy of Sciences Hefei Institutes of Physical Science

Publisher

Elsevier BV

Reference17 articles.

1. Physics design of cfetr: determination of the device engineering parameters;Wan;IEEE Trans. Plasma Sci.,2014

2. A modular multilevel DC active power filter scheme based on optimal parameter design for the CFETR N-NBI accelerator grid power supply;Zhang;Fusion Eng. Des.,2023

3. Development status of the HVPS and control system for KSTAR ECH system upgrade;Kim;Fusion Eng. Des.,2023

4. Review and analysis of the AC/DC converter of ITER coil power supply;Fu,2010

5. Stability analysis for the voltage of EAST loads based on the short circuit capacity;Junjia;Fusion Eng. Des.,2019

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A machine learning approach for identifying vertical temperature gradient in steel-concrete composite beam under solar radiation;Advances in Engineering Software;2024-10

2. Research on resonance mechanism of the nuclear fusion electrical distribution network under multiple harmonic sources;Electric Power Systems Research;2024-08

3. Multi-objective neural network modeling and applications to microwave power amplifiers;Microelectronics Journal;2024-07

4. A Machine Learning Approach for Identifying Vertical Temperature Gradient in Steel-Concrete Composite Beam Under Solar Radiation;2024