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Output details

15 - General Engineering

University of Surrey

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Article title

Bayesian migration of Gaussian process regression for rapid process modeling and optimization

Type
D - Journal article
Title of journal
Chemical Engineering Journal
Article number
-
Volume number
166
Issue number
3
First page of article
1095
ISSN of journal
13858947
Year of publication
2011
URL
-
Number of additional authors
-
Additional information

This article integrates model adaptation (migration) and model-based process optimisation in a single process. The methodology is novel and its application to early-stage chemical process development has been demonstrated to be effective by using lab-scale experiments.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-