A quasi fractional order gradient descent method with adaptive stepsize and its application in system identification

DOI10.1016/j.amc.2020.125797OpenAlexW3108151199MaRDI QIDQ2662614

Li-Yuan Huang, Yuhan Liu, Rui Zhai, Wenliang Li, Bingzhe Wang, Jian-Jun Liu

Publication date: 14 April 2021

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2020.125797

zbMATH Keywords

unconstrained optimizationsystem identificationHadamard productArmijo criterionQFOGDM

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Numerical optimization and variational techniques (65K10) Methods of reduced gradient type (90C52)

Related Items (2)

Nabla fractional distributed optimization algorithms over undirected/directed graphs ⋮ Applications of fractional gradient descent method with adaptive momentum in BP neural networks

Uses Software

• Heat Conduction Toolbox
• Fractional Heat Conduction Toolbox

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