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Approximating process simulators with learning systems
RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID-id: 0000-0001-8952-3542
RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID-id: 0000-0001-8577-6745
RISE - Research Institutes of Sweden (2017-2019), ICT, SICS.ORCID-id: 0000-0002-5025-7627
RISE - Research Institutes of Sweden (2017-2019), ICT, SICS.
2005 (engelsk)Rapport (Annet vitenskapelig)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Swedish Institute of Computer Science , 2005, 1. , s. 30
Serie
SICS Technical Report, ISSN 1100-3154 ; 2005:03
Emneord [en]
Machine Learning, Neural Networks, Process Simulation, Process Optimization
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-22084OAI: oai:DiVA.org:ri-22084DiVA, id: diva2:1041626
Tilgjengelig fra: 2016-10-31 Laget: 2016-10-31 Sist oppdatert: 2023-05-09bibliografisk kontrollert

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Gillblad, DanielHolst, Anders

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