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Combining Semi-Phys...
Combining Semi-Physical and Neural Network Modeling : An Example of Its Usefulness
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- Forssell, Urban (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Lindskog, Peter (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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(creator_code:org_t)
- Linköping : Linköping University Electronic Press, 1997
- English 6 s.
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Series: LiTH-ISY-R, 1400-3902 ; 1943
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In: Proceedings of the 11th IFAC Symposium on System Identification. - Linköping : Linköping University Electronic Press. - 0080425925 ; , s. 795-798
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Nonlinear systems identification
- Semi-physical modeling
- Neural nets
- Cybernetik Informationsteori
- Artificiell Intelligens AI
- Automatic control
- Reglerteknik
Publication and Content Type
- vet (subject category)
- rap (subject category)
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