A new recurrent neurofuzzy network for identification of dynamic systems. - Marcos Angel Gonzalez-Olvera; Yu Tang 016 (Fuzzy Sets Syst., 2007)

Identification of a class of nonlinear systems by a continuous-time recurrent neurofuzzy network. - Marcos Angel Gonzalez-Olvera; Yu Tang 016 (ACC, 2009)

Black-box modeling of a 2-DOF manipulator in the image plane using recurrent neurofuzzy networks. - Marcos Angel Gonzalez-Olvera; Angel Luis Rodriguez-Morales; Yu Tang 016 (CDC, 2009)

Indentificación de sistemas no lineales mediante redes neurodifusas recurrentes - Marcos Angel Gonzalez-Olvera (2009)

A Discrete-Time Recurrent Neurofuzzy Network for Black-Box Modeling of insulin Dynamics in Diabetic Type-1 Patients. - Marcos Angel Gonzalez-Olvera; Ana Gabriela Gallardo-Hernández; Yu Tang 016; Maria Cristina Revilla-Monsalve; Sergio Islas-Andrade (Int. J. Neural Syst., 2010)

Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network. - Marcos Angel Gonzalez-Olvera; Yu Tang 016 (IEEE Trans. Neural Networks, 2010)

Modelling of a traffic cell based on a recurrent-neural network. - Marcos Angel Gonzalez-Olvera; Yu Tang 016; Luis Alvarez-Icaza (Int. J. Model. Identif. Control., 2011)

Identification of first-order hammerstein systems and its application to a simple neural mass model for parkinson's disease treatment. - Naybi I. Jimenez; Yu Tang 016; Marcos Angel Gonzalez-Olvera (ICCA, 2013)

Identification of nonlinear discrete systems by a state-space recurrent neurofuzzy network with a convergent algorithm. - Marcos Angel Gonzalez-Olvera; Yu Tang 016 (Neurocomputing, 2015)

Identification of incommensurate state-space fractional systems. - Marcos Angel Gonzalez-Olvera; Yu Tang 016 (ICNSC, 2016)

Contraction-Based Identification of a Neuron Model with Nonlinear Parameterization via Synchronization. - Anahi Flores-Perez; Marcos Angel Gonzalez-Olvera; Yu Tang 016 (CCE, 2018)

Rapid automatic identification of parameters of the Bergman Minimal Model in Sprague-Dawley rats with experimental diabetes for adaptive insulin delivery. - Ana Gabriela Gallardo-Hernández; Marcos Angel Gonzalez-Olvera; Maria Cristina Revilla-Monsalve; Jésica A. Escobar; Medardo Castellanos-Fuentes; Ron S. Leder (Comput. Biol. Medicine, 2019)

Accurate diagnosis of sepsis using a neural network: Pilot study using routine clinical variables. - 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 (Comput. Methods Programs Biomed., 2021)

How to Deal with Parameter Estimation in Continuous-Time Stochastic Systems. - Jesica Escobar; Ana Gabriela Gallardo-Hernández; Marcos Angel Gonzalez-Olvera (Circuits Syst. Signal Process., 2022)