Multi-objective optimization of NARX model for system identification using genetic algorithm

The problem of constructing an adequate and parsimonious Nonlinear Autoregressive model process with eXogenous input (NARX) structure for modeling nonlinear dynamic system is studied. NARX has been shown to perform function approximation and represent dynamic systems. The structures are usually gues...

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Bibliographic Details
Main Authors: Loghmanian, S. Mohammad Reza, Ahmad, Robiah, Jamaluddin , Hishamuddin
Format: Book Section
Published: Institute of Electrical and Electronics Engineers 2009
Subjects: