Training stiff neural ordinary differential equations in data-driven wastewater process modelling

• 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.

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Publication Details

Journal
Journal of Environmental Management
Published
2024-12-30
DOI
https://doi.org/10.1016/j.jenvman.2024.123870
Citations
2
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.69

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article

Training stiff neural ordinary differential equations in data-driven wastewater process modelling

Evina Katsou, Xiangjun Huang, Kyriakos Kandris
2 citations
Journal of Environmental Management
Neural Networks and Applications
0.69
article

Training stiff neural ordinary differential equations in data-driven wastewater process modelling

Evina Katsou, Xiangjun Huang, Kyriakos Kandris
article en
2 citations

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.

Journal of Environmental ManagementVol. 373
Imperial College London (GB), Brunel University of London (GB)
European Commission
Clean water and sanitation
Openalex Percentile: Top 22%
Neural Networks and Applications
0.69
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