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Nonlinear System Identification Using Neural Network

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.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:oru-28937
Date January 2012
CreatorsArain, Muhammad Asif, Hultmann Ayala, Helon Vicente, Ansari, Muhammad Adil
PublisherUniversity of Genova (Italy) and Warsaw University of Technology (Poland), University of Genova (Italy) and Warsaw University of Technology (Poland), Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeConference paper, info:eu-repo/semantics/conferenceObject, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationEmerging Trends and Applications in Information Communication Technologies Communications in Computer and Information Science, 978-3-642-28962-0, , p. 122-131

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