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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, ICT, SICS.ORCID iD: 0000-0002-5025-7627
RISE - Research Institutes of Sweden, ICT, SICS.
2005 (English)Report (Other academic)
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.

Place, publisher, year, edition, pages
Swedish Institute of Computer Science , 2005, 1. , p. 30
Series
SICS Technical Report, ISSN 1100-3154 ; 2005:03
Keywords [en]
Machine Learning, Neural Networks, Process Simulation, Process Optimization
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-22084OAI: oai:DiVA.org:ri-22084DiVA, id: diva2:1041626
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2018-02-21Bibliographically approved

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Type fulltextMimetype application/pdf

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Gillblad, DanielHolst, AndersLevin, Björn
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf