Modified neural networks for rapid recovery of tokamak plasma parameters for real time control-Reference-Cited by-同舟云学术

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Modified neural networks for rapid recovery of tokamak plasma parameters for real time control

Published:2002-07 Issue:7 Volume:73 Page:2566-2577
ISSN:0034-6748
Container-title:Review of Scientific Instruments
language:en
Short-container-title:Review of Scientific Instruments

Author:

Sengupta A.,Ranjan P.

Publisher

AIP Publishing

Subject

Instrumentation

Link

http://aip.scitation.org/doi/pdf/10.1063/1.1483897

Reference19 articles.

1. Fast non-linear extraction of plasma equilibrium parameters using a neural network mapping

2. Identification of noncircular plasma equilibria using a neural network approach

3. Real time analysis of multichannel data in tokamaks

4. Identification of Plasma Equilibria in ITER from Magnetic Measurements Via Functional Parameterization and Neural Networks

5. Sensor Algorithms of the Plasma Vertical Position to Avoid a Vertical Displacement Event During Plasma-Current Quench on JT-60U

Cited by 3 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. Data-driven technique for disruption prediction in GOLEM tokamak using stacked ensembles with active learning;Review of Scientific Instruments;2022-03-01

2. Data-driven disruption prediction in GOLEM Tokamak using ensemble classifiers;Journal of Intelligent & Fuzzy Systems;2020-12-04

3. Fast recovery of vacuum magnetic configuration of the W7-X stellarator using function parametrization and artificial neural networks;Nuclear Fusion;2004-11

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