Continuous-time system identification with neural networks: model structures and fitting criteria
type: Item
instance of: scholarly article
title: Continuous-time system identification with neural networks: model structures and fitting criteria
zbMATH Open document ID: 1466.93032
author: Marco Forgione
author: Dario Piga
published in: European Journal of Control
publication date: 2021-06-21T00:00:00Z
full work available at URL: https://arxiv.org/abs/2006.02915
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7361413
zbMATH Keywords: system identification
zbMATH Keywords: dynamical systems
zbMATH Keywords: neural networks
zbMATH Keywords: deep learning
describes a project that uses: System Identification Toolbox
describes a project that uses: TensorFlow
describes a project that uses: Adam
describes a project that uses: PDE-Net
describes a project that uses: CONTSID
describes a project that uses: PyTorch
describes a project that uses: torchdiffeq
MaRDI profile type: Publication
OpenAlex ID: W3033855706
arXiv ID: 2006.02915
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DOI: 10.1016/J.EJCON.2021.01.008
description: scientific article