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.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:oru-28937 |
| Date | January 2012 |
| Creators | Arain, Muhammad Asif, Hultmann Ayala, Helon Vicente, Ansari, Muhammad Adil |
| Publisher | University 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 Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Conference paper, info:eu-repo/semantics/conferenceObject, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | Emerging 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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