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ORCIDMarcos Angel Gonzalez-Olvera
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2020 – today
- 2022
[j8]Jesica Escobar
, Ana Gabriela Gallardo-Hernández, Marcos Angel Gonzalez-Olvera:
How to Deal with Parameter Estimation in Continuous-Time Stochastic Systems. Circuits Syst. Signal Process. 41(4): 2338-2357 (2022)- 2021
- [j7]Lourdes Andrea Arriaga-Pizano, Marcos Angel Gonzalez-Olvera, Eduardo Antonio Ferat-Osorio, Jesica Escobar, Ana Luisa Hernandez-Perez, Maria Cristina Revilla-Monsalve, Constatino Lopez-Macias, José Israel León-Pedroza, Graciela Libier Cabrera-Rivera, Uriel Guadarrama-Aranda, Ron Leder, Ana Gabriela Gallardo-Hernández:
Accurate diagnosis of sepsis using a neural network: Pilot study using routine clinical variables. Comput. Methods Programs Biomed. 210: 106366 (2021)
2010 – 2019
- 2019
- [j6]Ana Gabriela Gallardo-Hernández, Marcos Angel Gonzalez-Olvera, Maria Cristina Revilla-Monsalve, Jésica A. Escobar, Medardo Castellanos-Fuentes, Ron S. Leder:
Rapid automatic identification of parameters of the Bergman Minimal Model in Sprague-Dawley rats with experimental diabetes for adaptive insulin delivery. Comput. Biol. Medicine 108: 242-248 (2019) - 2018
- [c6]Anahi Flores-Perez, Marcos Angel Gonzalez-Olvera, Yu Tang:
Contraction-Based Identification of a Neuron Model with Nonlinear Parameterization via Synchronization. CCE 2018: 1-6 - 2016
- [c5]Marcos Angel Gonzalez-Olvera, Yu Tang:
Identification of incommensurate state-space fractional systems. ICNSC 2016: 1-4 - 2015
- [j5]Marcos Angel Gonzalez-Olvera, Yu Tang:
Identification of nonlinear discrete systems by a state-space recurrent neurofuzzy network with a convergent algorithm. Neurocomputing 148: 318-325 (2015) - 2013
- [c4]Naybi I. Jimenez, Yu Tang, Marcos Angel Gonzalez-Olvera:
Identification of first-order hammerstein systems and its application to a simple neural mass model for parkinson's disease treatment. ICCA 2013: 1196-1200 - 2011
- [j4]Marcos Angel Gonzalez-Olvera, Yu Tang, Luis Alvarez-Icaza:
Modelling of a traffic cell based on a recurrent-neural network. Int. J. Model. Identif. Control. 13(4): 259-268 (2011) - 2010
- [j3]Marcos Angel Gonzalez-Olvera, Ana Gabriela Gallardo-Hernández, Yu Tang, Maria Cristina Revilla-Monsalve, Sergio Islas-Andrade:
A Discrete-Time Recurrent Neurofuzzy Network for Black-Box Modeling of insulin Dynamics in Diabetic Type-1 Patients. Int. J. Neural Syst. 20(2): 149-158 (2010) - [j2]Marcos Angel Gonzalez-Olvera, Yu Tang:
Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network. IEEE Trans. Neural Networks 21(4): 672-679 (2010)
2000 – 2009
- 2009
- [b1]Marcos Angel Gonzalez-Olvera:
Indentificación de sistemas no lineales mediante redes neurodifusas recurrentes. UNAM, Mexico, 2009 - [c3]Marcos Angel Gonzalez-Olvera, Yu Tang:
Identification of a class of nonlinear systems by a continuous-time recurrent neurofuzzy network. ACC 2009: 3567-3572 - [c2]Marcos Angel Gonzalez-Olvera, Angel Luis Rodriguez-Morales, Yu Tang:
Black-box modeling of a 2-DOF manipulator in the image plane using recurrent neurofuzzy networks. CDC 2009: 8440-8445 - 2007
- [j1]Marcos Angel Gonzalez-Olvera, Yu Tang:
A new recurrent neurofuzzy network for identification of dynamic systems. Fuzzy Sets Syst. 158(10): 1023-1035 (2007) - 2006
- [c1]Marcos Angel Gonzalez-Olvera, Yu Tang:
A New Recurrent Neurofuzzy Network for Identification of Dynamic Systems. ISNN (2) 2006: 796-801
Coauthor Index
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