A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19

A variety of approaches using compartmental models have been used to study the COVID-19 pandemic and the usage of machine learning methods with these models has had particularly notable success. We present here an approach toward analyzing accessible data on Covid-19's U.S. development using a...

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Bibliographische Detailangaben

Hauptverfasser:	Hu, Haoran, Kennedy, Connor M, Kevrekidis, Panayotis G, Zhang, Hongkun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Neural and Evolutionary Computing Quantitative Biology - Populations and Evolution Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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