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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)In: Proceedings of the 11th IFAC Symposium on System Identification, 1997, Vol. 4, 795-798 p.Conference paper, Published paper (Refereed)
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
1997. Vol. 4, 795-798 p.
Keyword [en]
Neural network, Parameter, Local minima
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-93781ISBN: 0080425925 (print)OAI: oai:DiVA.org:liu-93781DiVA: diva2:628836
Conference
11th IFAC Symposium on System Identification, Fukuoka, Japan, July, 1997
Available from: 2013-06-14 Created: 2013-06-10 Last updated: 2013-08-26

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CiteExportLink to record
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Citation style
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