A generalized minimal residual based iterative back propagation algorithm for polynomial nonlinear models

In this paper, a back propagation algorithm is proposed for polynomial nonlinear models using generalized minimal residual method. This algorithm, based on Arnoldi’s method, can be regarded as a modified gradient descent iterative algorithm, and provides several advantages over the traditional gradi...

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Vydané v:	Systems & control letters Ročník 153; s. 104966
Hlavní autori:	Chen, Jing, Rong, Yingjiao, Zhu, Quanmin, Chandra, Budi, Zhong, Hongxiu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.07.2021
Predmet:	Arnoldi’s method Back propagation Convergence analysis Gradient descent iterative algorithm Nonlinear model Back propagation Gradient descent iterative algorithm Nonlinear model Arnoldi’s method Convergence analysis
ISSN:	0167-6911, 1872-7956
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