Abstract
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.
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Arain, M.A., Hultmann Ayala, H.V., Ansari, M.A. (2012). Nonlinear System Identification Using Neural Network. In: Chowdhry, B.S., Shaikh, F.K., Hussain, D.M.A., Uqaili, M.A. (eds) Emerging Trends and Applications in Information Communication Technologies. IMTIC 2012. Communications in Computer and Information Science, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28962-0_13
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DOI: https://doi.org/10.1007/978-3-642-28962-0_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28961-3
Online ISBN: 978-3-642-28962-0
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