Training stiff neural ordinary differential equations in data-driven wastewater process modelling
Year: 2024
Type: article
Abstract: • Introduce a novel normalisation pair method for training of stiff neural ODEs. • Propose incremental training strategy for enhance performance. • Provide a foundation for broad application of neural ODEs.
Authors: Xiangjun Huang, Kyriakos Kandris, Evina Katsou
Institutions: Brunel University of London, Imperial College London
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,850
Funder: European Commission
OpenAlex ID: W4405894448
