Sangoi, Enrico;
Quaglio, Marco;
Galvanin, Federico;
(2022)
Optimal Design of Experiments for Artificial Neural Network-based Kinetic Model Recognition.
Presented at: Sargent Centre Industrial Consortium Members Annual Meeting 2022, London, UK.
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| Type: | Poster |
|---|---|
| Title: | Optimal Design of Experiments for Artificial Neural Network-based Kinetic Model Recognition |
| Event: | Sargent Centre Industrial Consortium Members Annual Meeting 2022 |
| Location: | London, UK |
| Dates: | 01 December 2022 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.imperial.ac.uk/process-systems-enginee... |
| Language: | English |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10173050 |
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