図版検索トレンド wiki 日本の研究

© 2026 FUSIONPAPERS

About 法務情報

トップに戻る

MHD spectrogram contribution to disruption prediction using Convolutional Neural Networks

E. Aymerich, G. Sias, S. Atzeni, F. Pisano, A. Fanni2024年7月Fusion Engineering and DesignIF 1.7 出版社

wiki

Magnetohydrodynamics Plasma disruption Neural network Disruption prediction

この論文にはまだAI要約がありません。

関連論文

Deep convolutional neural networks for multi-scale time-series classification and application to tokamak disruption prediction using raw, high temporal resolution diagnostic data

2020Physics of Plasmas

Disruption predictor based on neural network and anomaly detection on J-TEXT

2020Plasma Physics and Controlled Fusion

Enhancing disruption prediction through Bayesian neural network in KSTAR

2024Plasma Physics and Controlled Fusion

Disruption prediction at JET through deep convolutional neural networks using spatiotemporal information from plasma profiles

2022Nuclear Fusion

Disruption prediction on EAST with different wall conditions based on a multi-scale deep hybrid neural network

2023Nuclear Fusion

A disruption predictor based on a 1.5-dimensional convolutional neural network in HL-2A

2020Nuclear Fusion

Automatic identification of MHD modes in magnetic fluctuation spectrograms using deep learning techniques

2021Plasma Physics and Controlled Fusion