Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/30477| Title: | Training stiff neural ordinary differential equations in data-driven wastewater process modelling |
| Authors: | Huang, X Kandris, K Katsou, E |
| Issue Date: | 30-Dec-2024 |
| Publisher: | Elsevier |
| Citation: | Huang, X., Kandris, K, and Katsou, E. (2025) 'Training stiff neural ordinary differential equations in data-driven wastewater process modelling', Journal of Environmental Management, 373, 123870, pp. 1 - 14. doi: 10.1016/j.jenvman.2024.123870 |
| Abstract: | Highlights: • 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. |
| Description: | Data availability:
I have shared the link of my data/code in the manuscript uploaded. Supplementary data are available online at: https://www.sciencedirect.com/science/article/pii/S030147972403857X?via%3Dihub#appsec1 . |
| URI: | https://bura.brunel.ac.uk/handle/2438/30477 |
| DOI: | https://doi.org/10.1016/j.jenvman.2024.123870 |
| ISSN: | 0301-4797 |
| Other Identifiers: | ORCiD: Xiangjun Huang https://orcid.org/0000-0001-9020-3490 ORCiD: Kyriakos Kandris https://orcid.org/0000-0003-4173-955X ORCiD: Evina Katsou https://orcid.org/0000-0002-2638-7579 123870 |
| Appears in Collections: | Dept of Civil and Environmental Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license ( https://creativecommons.org/licenses/by/4.0/ ). | 15.47 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
