C. J. Zúñiga-Aguilar
Title
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Cited by
Year
Solving fractional differential equations of variable-order involving operators with Mittag-Leffler kernel using artificial neural networks
CJ Zúñiga-Aguilar, HM Romero-Ugalde, JF Gómez-Aguilar, ...
Chaos, Solitons and Fractals 103, 382–403, 2017
502017
New numerical approximation for solving fractional delay differential equations of variable order using artificial neural networks
CJ Zúñiga-Aguilar, A Coronel-Escamilla, JF Gómez-Aguilar, ...
The European Physical Journal Plus 133 (2), 1-16, 2018
342018
Robust control for fractional variable-order chaotic systems with non-singular kernel
HMRU C. J. Zúñiga-Aguilar, J. F. Gómez-Aguilar, R. F. Escobar-Jiménez
European Physical Journal Plus 133 (13), 13, 2018
28*2018
FPGA implementation and control of chaotic systems involving the variable-order fractional operator with Mittag-Leffler law
HMRU L.F Ávalos-Ruiz, C. J. Zúñiga-Aguilar, J. F. Gómez-Aguilar, R. F ...
Chaos, Solitons & Fractals 115, 177-189, 2018
192018
Fractional order neural networks for system identification
CJZ Aguilar, JF Gómez-Aguilar, VM Alvarado-Martínez, ...
Chaos, Solitons & Fractals 130, 109444, 2020
82020
A novel method to solve variable-order fractional delay differential equations based in lagrange interpolations
HMRU C. J. Zúñiga-Aguilar, J. F. Gómez-Aguilar, R. F. Escobar-Jiménez
Chaos Solitons & Fractals 126 ((1)), 266-282, 2019
52019
Numerical solution of fractal-fractional Mittag–Leffler differential equations with variable-order using artificial neural networks
FEA C. J. Zúñiga-Aguilar, J. F. Gómez-Aguilar, H. M. Romero-Ugalde, R. F ...
Engineering with Computers, 16, 2021
2021
BLOOD GLUCOSE PREDICTION WITH A FRACTIONAL ORDER NEURAL NETWORK
CJ Zúñiga-Aguilar, JF Gómez-Aguilar, S Franc, G Charpentier, M Doron, ...
2020
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Articles 1–8