Magnetohydrodynamic eigenfunction classification with a Neural Network
type: Item
instance of: scholarly article
title: Magnetohydrodynamic eigenfunction classification with a Neural Network
zbMATH Open document ID: 1483.76070
author: Yanyan Li
published in: Journal of Computational and Applied Mathematics
publication date: 2022-02-11T00:00:00Z
Mathematics Subject Classification ID: 76X05
Mathematics Subject Classification ID: 76W05
Mathematics Subject Classification ID: 76M22
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 92B20
zbMATH DE Number: 7472417
zbMATH Keywords: Fourier decomposition
zbMATH Keywords: magnetohydrodynamic spectrum
zbMATH Keywords: neural network
zbMATH Keywords: Alfvén wave
zbMATH Keywords: perfect machine learning model
describes a project that uses: CASTOR
describes a project that uses: Keras
describes a project that uses: GitHub
MaRDI profile type: Publication
full work available at URL: j.cam.2021.113889
OpenAlex ID: W4200604467
cites work: An energy principle for hydromagnetic stability problems
cites work: Low-n shear Alfvén spectra in axisymmetric toroidal plasmas
cites work: CASTOR: Normal-mode analysis of resistive MHD plasmas
cites work: Q5270493
DOI: 10.1016/J.CAM.2021.113889
description: scientific article; zbMATH DE number 7472417