Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks
type: Item
instance of: scholarly article
title: Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks
zbMATH Open document ID: 1478.92193
author: Viktor Grimm
author: Alexander Heinlein
author: Axel Klawonn
author: Martin Lanser
author: Janine Weber
publication date: 2022-01-28T00:00:00Z
full work available at URL: http://etna.mcs.kent.edu/volumes/2021-2030/vol56/abstract.php
Mathematics Subject Classification ID: 92D30
Mathematics Subject Classification ID: 92-08
Mathematics Subject Classification ID: 65L09
Mathematics Subject Classification ID: 68T07
Mathematics Subject Classification ID: 68T09
zbMATH DE Number: 7465771
zbMATH Keywords: machine learning
zbMATH Keywords: physics-informed neural networks
zbMATH Keywords: SIR model
zbMATH Keywords: SEIR model
zbMATH Keywords: epidemic modeling
zbMATH Keywords: parameter estimation
zbMATH Keywords: COVID-19
zbMATH Keywords: SARS-CoV-2
zbMATH Keywords: scientific machine learning
describes a project that uses: TensorFlow
describes a project that uses: SciPy
describes a project that uses: bootstrap
describes a project that uses: DiffSharp
describes a project that uses: Adam
describes a project that uses: Python
MaRDI profile type: Publication
OpenAlex ID: W3090437582
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cites work: Q4318617
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DOI: 10.1553/ETNA_VOL56S1
published in: ETNA - Electronic Transactions on Numerical Analysis
description: scientific article; zbMATH DE number 7465771