UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

A MINLP approach to model-based data mining for the quick development of nonlinear dynamic models

Quaglio, M; Bezzo, F; Gavriilidis, A; Cao, E; Galvanin, F; (2016) A MINLP approach to model-based data mining for the quick development of nonlinear dynamic models. In: Proceedings of the 2016 AIChE Annual Meeting. American Institute of Chemical Engineers (AIChE): San Francisco, CA, USA. Green open access

[thumbnail of Quaglio_et_al_AIChE_AM_Final.pdf]
Preview
Text
Quaglio_et_al_AIChE_AM_Final.pdf - Accepted Version

Download (153kB) | Preview
Type: Proceedings paper
Title: A MINLP approach to model-based data mining for the quick development of nonlinear dynamic models
Event: 2016 AIChE Annual Meeting
Location: San Francisco, CA, USA
Dates: 13 November 2016 - 18 November 2016
Open access status: An open access version is available from UCL Discovery
Publisher version: https://aiche.confex.com/aiche/2016/webprogram/Pap...
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/1521027
Downloads since deposit
18Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item