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Nonlinear System Identification Using Neural Network

Authors :
Arain, Muhammad Asif
Hultmann Ayala, Helon Vicente
Ansari, Muhammad Adil
Arain, Muhammad Asif
Hultmann Ayala, Helon Vicente
Ansari, Muhammad Adil
Publication Year :
2012

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.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1233353629
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1007.978-3-642-28962-0_13