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ISSN Print: 2689-3967
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АрхивТом 3, 2022 / Выпуск 3DOI: 10.1615/JMachLearnModelComput.v3.i3 Table of Contents:
A NEURAL ORDINARY DIFFERENTIAL EQUATION FRAMEWORK FOR MODELING INELASTIC STRESS RESPONSE VIA INTERNAL STATE VARIABLES
Reese E. Jones, Ari L. Frankel, K. L. Johnson
Reese E. Jones
Ari L. Frankel
K. L. Johnson DOI: 10.1615/JMachLearnModelComput.2022042917
A PDE-BASED ADAPTIVE KERNEL METHOD FOR SOLVING OPTIMAL FILTERING PROBLEMS
Zezhong Zhang, Richard Archibald, Feng Bao
Zezhong Zhang
Richard Archibald
Feng Bao DOI: 10.1615/JMachLearnModelComput.2022043526
LEARNING FINE SCALE DYNAMICS FROM COARSE OBSERVATIONS VIA INNER RECURRENCE
Victor Churchill, Dongbin Xiu
Victor Churchill
Dongbin Xiu DOI: 10.1615/JMachLearnModelComput.2022044586
MODELING UNKNOWN DYNAMICAL SYSTEMS WITH HIDDEN PARAMETERS
Xiaohan Fu, WeiZe Mao, Lo-Bin Chang, Dongbin Xiu
Xiaohan Fu
WeiZe Mao
Lo-Bin Chang
Dongbin Xiu DOI: 10.1615/JMachLearnModelComput.2022041026
DEEP LEARNING OF CHAOTIC SYSTEMS FROM PARTIALLY-OBSERVED DATA
Victor Churchill, Dongbin Xiu
Victor Churchill
Dongbin Xiu DOI: 10.1615/JMachLearnModelComput.2022045602 |
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