A fuzzy-neural multi-model for nonlinear systems identification and control IS Baruch, RB Lopez, JLO Guzman, JM Flores Fuzzy sets and systems 159 (20), 2650-2667, 2008 | 73 | 2008 |
An advanced neural network topology and learning, applied for identification and control of a DC motor IS Baruch, JM Flores, B Nenkova Proceedings First International IEEE Symposium Intelligent Systems 1, 289-295, 2002 | 55 | 2002 |
Adaptive neural control of nonlinear systems I Baruch, JM Flores, F Thomas, R Garrido International Conference on Artificial Neural Networks, 930-936, 2001 | 30 | 2001 |
A fuzzy neural recurrent multi-model for systems identification and control IS Baruch, JM Flores, R Garrido 2001 European Control Conference (ECC), 3540-3545, 2001 | 16 | 2001 |
An adaptive neural control of a DC motor IS Baruch, R Garrido, JM Flores, JC Martinez Proceeding of the 2001 IEEE International Symposium on Intelligent Control …, 2001 | 14 | 2001 |
A multimodel recurrent neural network for systems identification and control IS Baruch, JM Flores, F Thomas, E Gortcheva IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 12 | 2001 |
Hybrid architecture of multi-robot systems based on formation control and som neural networks EG Hernández-Martínez, JMF Albino 2011 IEEE International Conference on Control Applications (CCA), 941-946, 2011 | 10 | 2011 |
Manual de buenas prácticas de higiene y sanidad J Flores, J Martínez, F Casillas Ciudad de México, México, Secretaría de Salud-Subsecretaria de Regulación y …, 1999 | 10 | 1999 |
Estrategias para mejor la calidad educativa con base en el análisis de la trayectoria académica en el área de ingeniería I Rodríguez Pérez, R Pérez Ramírez, JM Flores Albino RIDE. Revista Iberoamericana para la Investigación y el Desarrollo Educativo …, 2021 | 9 | 2021 |
Model reference adaptive neural control of a variable structure system M Bonilla, I Baruch, JM Flores, MM Goire, B Nenkova Cybernetics and Information Technologies 2, 3-14, 2003 | 6 | 2003 |
Identificación de sistemas no lineales complejos usando un multimodelo neuronal difuso I Baruch, JM Flores, R Garrido, E Gortcheva Científica, ESIME 19, 29-40, 2000 | 6 | 2000 |
Predicción de oxígeno disuelto en acuacultura semi-intensiva con redes neuronales artificiales. CJT González, VM Landassuri-Moreno, JJC Hernández, JMF Albino Res. Comput. Sci. 120, 159-168, 2016 | 5 | 2016 |
A multi-model parameter and state estimation of mechanical systems I Baruch, JM Flores, JC Martinez, R Garrido ISIE'2000. Proceedings of the 2000 IEEE International Symposium on …, 2000 | 4 | 2000 |
Fuzzy-neural models for real-time identification and control of a mechanical system IS Baruch, J Martín Flores, J Carlos Martínez, B Nenkova International Conference on Artificial Intelligence: Methodology, Systems …, 2000 | 4 | 2000 |
Reconocimiento de patrones numéricos para vuelo controlado de un AR Drone utilizando redes neuronales artificiales. JC Rodríguez-Sánchez, VM Landassuri-Moreno, JMF Albino Res. Comput. Sci. 107, 61-71, 2015 | 3 | 2015 |
Dynamic systems identification and control by means of complex-valued recurrent neural networks I Baruch, VA Quintana, EP Reynaud Advances in Artificial Intelligence and Soft Computing: 14th Mexican …, 2015 | 3 | 2015 |
An indirect adaptive neural control of nonlinear plants I Baruch, JMF Albino, R Garrido, E Gortcheva Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 3 | 2000 |
Ensamble de clasificadores para determinar el perfil académico del estudiante usando árboles de decisión y redes neuronales MQ López, JMF Albino, SL Salas, VML Moreno Res. Comput. Sci 147, 255-267, 2018 | 2 | 2018 |
Desempeño de una Red Neuronal Convolucional para Clasificación de Señales de Tránsito R VIZCAYA CARDENAS, J FLORES ALBINO, V LANDASSURI MORENO, ... Journal CIM, 2017 | 1 | 2017 |
Algoritmo para el cálculo del ritmo en una señal de audio digital. LFR Morales, JMF Albino Res. Comput. Sci. 120, 113-122, 2016 | 1 | 2016 |