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Combining Semi-Physical and Neural Network Modeling: An Example of Its Usefulness
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1997 (English)Report (Other academic)
Abstract [en]

This paper illustrates the power of combining semi-physical and neural network modeling in an application example. It is argued that some of the problems related to the use of neural networks, such as high dimensionality of the parameter space and problems with undesired local minima, can be alleviated by this approach.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1997. , 6 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1943
Keyword [en]
Nonlinear systems identification, Semi-physical modeling, Neural nets
Keyword [sv]
Cybernetik Informationsteori, Artificiell Intelligens AI
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55386ISRN: LITH-ISY-R-1943OAI: oai:DiVA.org:liu-55386DiVA: diva2:315994
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2014-09-16Bibliographically approved

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Automatic ControlThe Institute of Technology
Control Engineering

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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