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Nonlinear System Identification Using Neural Network
University of Genova , Genova, Italy; Warsaw University of Technology, Warshaw, Poland.
University of Genova , Genova, Italy; Warsaw University of Technology, Warshaw, Poland.
Science & Technology , Quaid-e-Awam University of Engineering, Sindh, Pakistan.
2012 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Magneto-rheological damper is a nonlinear system. In this case study, system has been identified using Neural Network tool. Optimization between number of neurons in the hidden layer and number of epochs has been achieved and discussed by using multilayer perceptron Neural Network.

sted, utgiver, år, opplag, sider
Springer, 2012. Vol. 281, s. 122-131
Serie
Emerging Trends and Applications in Information Communication Technologies Communications in Computer and Information Science, ISSN 1865-0929, E-ISSN 1869-0937
Emneord [en]
Nonlinear systems, System identification, Magneto-rheological damper, Neural Networks
HSV kategori
Identifikatorer
URN: urn:nbn:se:oru:diva-28937ISBN: 978-3-642-28962-0 (digital)ISBN: 978-3-642-28961-3 (tryckt)OAI: oai:DiVA.org:oru-28937DiVA, id: diva2:619536
Konferanse
International MultiTopic Conference, IMTIC 2012 Jamshoro, Pakistan; Volume 281, 2012, pp 122-131
Tilgjengelig fra: 2013-05-04 Laget: 2013-05-04 Sist oppdatert: 2018-03-06bibliografisk kontrollert

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