Fractional order neural networks for system identification
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Publication:2122425
DOI10.1016/j.chaos.2019.109444zbMath1489.93024OpenAlexW2973313168WikidataQ127227635 ScholiaQ127227635MaRDI QIDQ2122425
V. M. Alvarado-Martínez, C. J. Zúñiga-Aguilar, José Francisco Gómez-Aguilar, Hector Manuel Romero Ugalde
Publication date: 6 April 2022
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2019.109444
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Cites Work
- Unnamed Item
- Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint
- Low-order control-oriented modeling of piezoelectric actuator using Huberian function with low threshold: pseudolinear and neural network models
- Foreword to the thematical issue devoted to the seventieth anniversary of Academician V. S. Tanaev
- Reducing network and computation complexities in neural based real-time scheduling scheme
- Novel techniques in parameter estimation for fractional dynamical models arising from biological systems
- Evolving granular neural networks from fuzzy data streams
- Identification and control of nonlinear systems by a dissimilation particle swarm optimization-based Elman neural network
- Solving fractional differential equations of variable-order involving operators with Mittag-Leffler kernel using artificial neural networks
- Mathematical analysis of dengue fever outbreak by novel fractional operators with field data
- Modeling chickenpox disease with fractional derivatives: from Caputo to Atangana-Baleanu
- Triple pendulum model involving fractional derivatives with different kernels
- Nuclear norm system identification with missing inputs and outputs
- Fractional modeling of blood ethanol concentration system with real data application
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