Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.

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Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.

The realistic dynamics mathematical model of a system is very important for analyzing a system. The mathematical system model can be derived by applying physical, thermodynamic, and chemistry laws. But this method has some drawbacks, among which is difficult for complex systems, sometimes is untr...

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Bibliographic Details
Main Author:	Kwad, Ayad Mahmood
Format:	Thesis
Language:	English English English
Published:	2022
Subjects:	QA76.75-76.765 Computer software
Online Access:	http://eprints.uthm.edu.my/8404/ http://eprints.uthm.edu.my/8404/1/24p%20AYAD%20MAHMOOD%20KWAD.pdf http://eprints.uthm.edu.my/8404/2/AYAD%20MAHMOOD%20KWAD%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8404/3/AYAD%20MAHMOOD%20KWAD%20WATERMARK.pdf

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