Neural Networks in System Identification
1994 (English)Report (Other academic)
Neural Networks are non-linear black-box model structures, to be used with conventional parameter estimation methods. They have good general approximation capabilities for reasonable non-linear systems. When estimating the parameters in these structures, there is also good adaptability to concentrate on those parameters that have the most importance for the particular data set.
Place, publisher, year, edition, pages
Linköping: Linköping University , 1994. , 24 p.
LiTH-ISY-R, ISSN 1400-3902 ; 1622
Neural networks, Parameter estimation, Model structures, Non-linear systems
IdentifiersURN: urn:nbn:se:liu:diva-55185ISRN: LiTH-ISY-R-1622OAI: oai:DiVA.org:liu-55185DiVA: diva2:315793