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Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives (2021)

First Author: Wei H

Attributed to: System Identification and Information Processing for Complex Systems funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2111.01763

Publication URI: https://arxiv.org/abs/2111.01763

Type: Preprint