HL-2A tokamak disruption forecasting based on an artificial neural network
Author:
Publisher
IOP Publishing
Subject
General Physics and Astronomy
Link
https://iopscience.iop.org/article/10.1088/1009-1963/16/12/030/pdf
Reference15 articles.
1. D–T burning plasma characteristics in an A =2 tokamak reactor
2. The decisive role ofm= 1 and 2 perturbations in density limit disruptions on TEXTOR
3. Stability of tokamak plasmas with internal transport barriers against high n ideal magnetohydrodynamic ballooning mode
4. Neural network prediction of some classes of tokamak disruptions
5. Forecasting disruptions in the ADITYA tokamak using neural networks
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