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.
| Main Authors: | , , |
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| Format: | Others |
| Language: | English |
| Published: |
University of Genova (Italy) and Warsaw University of Technology (Poland)
2012
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-28937 |