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Approximating process simulators with learning systems
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- Gillblad, Daniel (author)
- RISE,Decisions, Networks and Analytics lab
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- Holst, Anders (author)
- RISE,Decisions, Networks and Analytics lab
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- Levin, Björn (author)
- RISE,SICS
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- (creator_code:org_t)
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- Swedish Institute of Computer Science, 2005
- English 30 s.
- Series: SICS Technical Report, 1100-3154 ; 2005:03
- Reports (other academic/artistic)
Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Keyword
- Machine Learning
- Neural Networks
- Process Simulation
- Process Optimization
Publication and Content Type
- vet (subject category)
- rap (subject category)
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