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Articles - Gonzalo Joya Caparrós

Atencia Ruiz, M., Joya Caparrós, G. & García Lagos, F. (2019). Advances in computational intelligence. Neural Computing and Applications, , 1-3. [More] [Bibtex]
Salinas Vázquez, J. R., García Lagos, F., De Aguilar, J. D., Joya Caparrós, G. & Sandoval Hernández, F. (2019). Monte Carlo uncertainty analysis of an ANN-based spectral analysis method. Neural Computing and Applications, , 1-18. [More] [Bibtex]

Cano, C., Stoean, R. & Joya Caparrós, G. (2018). FPGA design and hardware implementation of a convolutional neural network for classification of saccadic eye movements. Annals of the University of Craiova, Mathematics and Computer Science Series, 45(2), 263-274. [More] [Bibtex]

A. Becerra-García, R., V. García-Bermúdez, R., Joya Caparrós, G., Fernández-Higuera, A., Velázquez-Rodríguez, C., Velázquez-Mariño, M. et al. (2017). Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography. Neurocomputing, 250, 28-36. [More] [Bibtex]

Atencia Ruiz, M., Hernández, Y., Joya Caparrós, G. & Sandoval Hernández, F. (2015). A discrete gradient method to enhance the numerical behaviour of Hopfield networks. Neurocomputing, 164, 45-55. [More] [Bibtex]
Rojas, I., Joya Caparrós, G. & Cabestany, J. (2015). Special issue on advances in computational intelligence and machine learning (IWANN 2013). Soft Computing, 9(19), 2403-2405. [More] [Bibtex]
Valdés, L., Montesinos, S., Ariza, A., M. Allende, S. & Joya Caparrós, G. (2015). Peer selection in P2P wireless mesh networks: comparison of different strategies. Soft Computing, 19(9), 2447–2455. [More] [Bibtex]

Atencia Ruiz, M., García Garaluz, E. & Joya Caparrós, G. (2013). The ratio of hidden HIV infection in Cuba. Mathematical Biosciences and Engineering, 10(4), 959-977. [More] [Bibtex]
Atencia Ruiz, M., García Garaluz, E., de Harazoza Rodríguez, H. & Joya Caparrós, G. (2013). Estimation of parameters based on artificial neural networks and threshold of HIV/AIDS epidemic system in Cuba. Mathematical and Computer Modelling, 57(11-12), 2971–2983. [More] [Bibtex]
Atencia Ruiz, M., Joya Caparrós, G. & Sandoval Hernández, F. (2013). Identification of Noisy Dynamical Systems with the ‘Hopfield estimator. Neurocomputing, 121, 14-24. [More] [Bibtex]
Barrios, J., Piétrus, A., Joya Caparrós, G., Marrero, A. & de Harazoza Rodríguez, H. (2013). A differential inclusion approach for modeling and analysis of dynamical systems under uncertainty: Application to dengue disease transmission. Soft Computing, 17(2), 239-253. [More] [Bibtex]
Rojas, I., Cabestani, J. & Joya Caparrós, G. (2013). Advances in computational intelligence. Soft Computing, 17(2), 195-197. [More] [Bibtex]

García Garaluz, E., Atencia Ruiz, M., Joya Caparrós, G., García Lagos, F. & Sandoval Hernández, F. (2011). Hopfield Networks for Identification of Delay Differential Equations with an Application to Dengue Fever Epidemics in Cuba. Neurocomputing,, 74(16), 2691-2697. [More] [Bibtex]

García Lagos, F., Joya Caparrós, G. & Sandoval Hernández, F. (2010). Contingency Evaluation and Monitorization Using Artificial Neural Networks. Neural Computing and Applications, 19, 139-150. [More] [Bibtex]

Salinas Vázquez, J. R., García Lagos, F., Joya Caparrós, G. & Sandoval Hernández, F. (2009). Sine Fitting Multiharmonic Algorithms implemented by Artificial Neural Networks. Neurocomputing, 72(16-18), 3640-3648. [More] [Bibtex]

Atencia Ruiz, M., Boumeridja, H., García Lagos, F., Joya Caparrós, G. & Sandoval Hernández, F. (2007). FPGA implementation of a systems identification module based upon Hopfield networks. Neurocomputing, Vol. 70, , pp. 2828-2835. [More] [Bibtex]
Atencia Ruiz, M., Joya Caparrós, G., García Garaluz, E., Arazoza, H. & Sandoval Hernández, F. (2007). Estimation of the Rate of Detection of Infected Individuals in an Epidemiological Model. , . [More] [Bibtex]

Atencia Ruiz, M., Joya Caparrós, G. & Sandoval Hernández, F. (2005a). Hopfield Neural Networks for Parametric Identification of Dynamical Systems. Neural Processing Letters, Vol. 21, , pp. 143-152. [More] [Bibtex]
Atencia Ruiz, M., Joya Caparrós, G. & Sandoval Hernández, F. (2005b). Dynamical analysis of continuous higher order Hopfield networks for combinatorial optimization. Neural Computation, Vol. 17, , pp. 1802-1819. [More] [Bibtex]

Atencia Ruiz, M., Joya Caparrós, G. & Sandoval Hernández, F. (2004). Parametric identification of robotic systems with stable time-varying Hopfield networks. Neural Computing and Applications Journal, Vol. 13, No. 2, , pp. 270-280. [More] [Bibtex]
Joya Caparrós, G., García Lagos, F., Atencia Ruiz, M. & Sandoval Hernández, F. (2004). Artificial Neural Networks for Energy Management System. Applicability and Limitations of the Main Paradigms. European Journal of Economic and Social Systems, Vol. 17, No. 1-2, , pp. 11-28. [More] [Bibtex]
Sandoval Hernández, F., García Lagos, F. & Joya Caparrós, G. (2004). Design of Artificial Neural Networks using Evolutionary Computation. European Journal of Economic and Social Systems, Vol. 17, No. 1-2, , pp. 99-123. [More] [Bibtex]

Atencia Ruiz, M., Joya Caparrós, G. & Sandoval Hernández, F. (2003). Spurious minima and bassins of attraction in high-order Hopfield networks. International Work-Conference on Artificial and Natural Neural Networks (IWANN´03), Menorca (Spain), . [More] [Bibtex]
J. Marin, F., García Lagos, F., Joya Caparrós, G. & Sandoval Hernández, F. (2003a). Optimal phasor measurement unit placement using genetic algorithms. , . [More] [Bibtex]
J. Marin, F., García Lagos, F., Joya Caparrós, G. & Sandoval Hernández, F. (2003b). Genetic algorithms for optimal placement of phasor mesurement units in electrical networks. Electronics Letters, Vol. 39, No. 19, , pp. 1403-1405. [More] [Bibtex]