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A System Identification Perspective on Neural Nets
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.
1992 (English)Report (Other academic)
Abstract [en]

The authors review some of the basic system identification machinery to reveal connections with neural networks. In particular, they point to the role of regularization in dealing with model structures with many parameters, and show the links to overtraining in neural nets. Some provisional explanations for the success of neural nets are also offered.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1992.
Series
LiTH-ISY-I, ISSN 8765-4321 ; 1373
Keyword [en]
Identification, Neural nets
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55558OAI: oai:DiVA.org:liu-55558DiVA: diva2:316360
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2013-07-29

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fulltext(138 kB)31 downloads
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File name FULLTEXT01.psFile size 138 kBChecksum SHA-512
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Ljung, Lennart

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