Gillblad, Daniel and Holst, Anders and Levin, Björn and Gudmundsson, Magnus (2005) Approximating process simulators with learning systems. [SICS Report]
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Abstract
We explore the possibility of replacing a first principles process simulator with a learning system. This is motivated in the presented test case setting by a need to speed up a simulator that is to be used in conjunction with an optimisation algorithm to find near optimal process parameters. Here we will discuss the potential problems and difficulties in this application, how to solve them and present the results from a paper mill test case.
| Item Type: | SICS Report |
|---|---|
| Uncontrolled Keywords: | Machine Learning, Neural Networks, Process Simulation, Process Optimization |
| ID Code: | 2362 |
| Deposited By: | Vicki Carleson |
| Deposited On: | 29 Oct 2007 |
| Last Modified: | 18 Nov 2009 16:07 |
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