Faraday angle prediction based on 1-D CNN on the J-TEXT tokamak-Reference-Cited by-同舟云学术

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Faraday angle prediction based on 1-D CNN on the J-TEXT tokamak

Published:2024-02 Issue: Volume:199 Page:114101
ISSN:0920-3796
Container-title:Fusion Engineering and Design
language:en
Short-container-title:Fusion Engineering and Design

Author:

Chen Yanqiu,Shen Chengshuo,Gao Li^ORCID,Chen Zhongyong,Tao Qinlin^ORCID,Wang Yuhan,Lin Weijie,Zheng Wei,Yang Zhoujun,Chen Zhipeng,Pan Yuan

Publisher

Elsevier BV

Subject

Mechanical Engineering,General Materials Science,Nuclear Energy and Engineering,Civil and Structural Engineering

Reference21 articles.

1. Progress in the ITER physics basis;Ikeda;Nucl. Fusion.,2007

2. High resolution polarimeter-interferometer system for fast equilibrium dynamics and MHD instability studies on Joint-TEXT tokamak (invited);Chen;Rev. Sci. Instrum.,2014

3. Deep learning;Lecun;Nature,2015

4. Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position;Fukushima;Biol. Cybern.,1980

5. Gradient-based learning applied to document recognition;Lecun;Proc. IEEE,1998

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