SODA

Approximating process simulators with learning systems

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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