Enhanced whale optimization algorithm-based modeling and simulation analysis for industrial system parameter identification

Parameter identification for complex systems of nonlinear nature is challenging due to the complicated process structure and large number of parameters with different identifiability. The scope of this work is to develop a model-based parameter identification method for a nonlinear industrial windin...

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Vydané v:	The Journal of supercomputing Ročník 79; číslo 13; s. 14489 - 14544
Hlavní autori:	Braik, Malik, Awadallah, Mohammed, Al-Betar, Mohammed Azmi, Al-Hiary, Heba
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.09.2023 Springer Nature B.V
Predmet:	Algorithms Artificial neural networks Classification Compilers Complex systems Computer Science Convergence Datasets Genetic algorithms Heuristic Identification methods Interpreters Mathematical models Modelling Multilayer perceptrons Network management systems Nonlinear systems Optimization Optimization algorithms Optimization techniques Parameter identification Processor Architectures Programming Languages Subsystems System theory Whales & whaling Winding Industrial winding process Whale optimization algorithm Artificial neural network Multilayer Perceptron Classification
ISSN:	0920-8542, 1573-0484
On-line prístup:	Získať plný text
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