High-dimensional time series prediction using kernel-based koopman mode regression
type: Item
instance of: scholarly article
title: High-dimensional time series prediction using kernel-based koopman mode regression
author: Jia-Chen Hua
author: Farzad Noorian
author: D. Moss
author: Philip H. W. Leong
author: Gemunu H. Gunaratne
published in: Nonlinear Dynamics
publication date: 2018-02-15T00:00:00Z
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 6839148
zbMATH Keywords: high-dimensional time series
zbMATH Keywords: spatio-temporal dynamics
zbMATH Keywords: complex systems
zbMATH Keywords: data-driven Koopman operator
zbMATH Keywords: dynamic mode decomposition
zbMATH Keywords: kernel methods
describes a project that uses: PRMLT
describes a project that uses: forecast
describes a project that uses: Forecast
describes a project that uses: AdaBoost.MH
MaRDI profile type: Publication
full work available at URL: s11071-017-3764-y
OpenAlex ID: W2756023359
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DOI: 10.1007/S11071-017-3764-Y
description: scientific article; zbMATH DE number 6839148