Követés
Francisco Ortega-Zamorano
Francisco Ortega-Zamorano
E-mail megerősítve itt: lcc.uma.es
Cím
Hivatkozott rá
Hivatkozott rá
Év
Efficient implementation of the backpropagation algorithm in FPGAs and microcontrollers
F Ortega-Zamorano, JM Jerez, DU Munoz, RM Luque-Baena, L Franco
IEEE transactions on neural networks and learning systems 27 (9), 1840-1850, 2015
1082015
Layer multiplexing FPGA implementation for deep back-propagation learning
F Ortega-Zamorano, JM Jerez, I Gómez, L Franco
Integrated Computer-Aided Engineering 24 (2), 171-185, 2017
832017
FPGA implementation of the C-Mantec neural network constructive algorithm
F Ortega-Zamorano, JM Jerez, L Franco
IEEE Transactions on Industrial Informatics 10 (2), 1154-1161, 2013
482013
Unsupervised learning by cluster quality optimization
E López-Rubio, EJ Palomo, F Ortega-Zamorano
Information Sciences 436, 31-55, 2018
362018
High precision FPGA implementation of neural network activation functions
F Ortega-Zamorano, JM Jerez, G Juárez, JO Pérez, L Franco
2014 IEEE symposium on intelligent embedded systems (IES), 55-60, 2014
362014
FPGA hardware acceleration of Monte Carlo simulations for the Ising model
F Ortega-Zamorano, MA Montemurro, SA Cannas, JM Jerez, L Franco
IEEE Transactions on Parallel and Distributed Systems 27 (9), 2618-2627, 2015
342015
Smart sensor/actuator node reprogramming in changing environments using a neural network model
F Ortega-Zamorano, JM Jerez, JL Subirats, I Molina, L Franco
Engineering Applications of Artificial Intelligence 30, 179-188, 2014
322014
Smart motion detection sensor based on video processing using self-organizing maps
F Ortega-Zamorano, MA Molina-Cabello, E López-Rubio, EJ Palomo
Expert Systems with Applications 64, 476-489, 2016
272016
Piecewise polynomial activation functions for feedforward neural networks
E López-Rubio, F Ortega-Zamorano, E Domínguez, J Muñoz-Pérez
Neural Processing Letters 50, 121-147, 2019
182019
FPGA implementation of neurocomputational models: comparison between standard back-propagation and C-Mantec constructive algorithm
F Ortega-Zamorano, JM Jerez, GE Juárez, L Franco
Neural Processing Letters 46, 899-914, 2017
92017
Implementation of the C-Mantec neural network constructive algorithm in an arduino UNO microcontroller
F Ortega-Zamorano, JL Subirats, JM Jerez, I Molina, L Franco
Advances in Computational Intelligence: 12th International Work-Conference …, 2013
92013
Digital Cryptography Implementation using Neurocomputational Model with Autoencoder Architecture.
F Quinga-Socasi, R Velastegui, L Zhinin-Vera, R Valencia-Ramos, ...
ICAART (2), 865-872, 2020
5*2020
Deep neural network architecture implementation on FPGAS using a layer multiplexing scheme
F Ortega-Zamorano, JM Jerez, I Gómez, L Franco
Distributed Computing and Artificial Intelligence, 13th International …, 2016
52016
A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization
JD Fernández-Rodríguez, EJ Palomo, J Benito-Picazo, E Domínguez, ...
Neurocomputing 544, 126288, 2023
42023
Learning style identification by chaea junior questionnaire and artificial neural network method: A case study
R Torres-Molina, L Guachi-Guachi, R Guachi, P Stefania, ...
The International Conference on Advances in Emerging Trends and Technologies …, 2019
42019
Thermal comfort estimation using a neurocomputational model
J Rodríguez-Alabarce, F Ortega-Zamorano, JM Jerez, K Ghoreishi, ...
2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-5, 2016
42016
FPGA implementation comparison between C-Mantec and Back-Propagation neural network algorithms
F Ortega-Zamorano, JM Jerez, G Juárez, L Franco
Advances in Computational Intelligence: 13th International Work-Conference …, 2015
42015
Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm
I Gómez, H Mesa, F Ortega-Zamorano, JM Jerez-Aragonés, L Franco
Neural Computing and Applications 32, 8955-8963, 2020
32020
Prediction of Learning Improvement in Mathematics through a Video Game using Neurocomputational Models.
R Torres-Molina, A Riofrío-Valdivieso, C Bustamante-Orellana, ...
ICAART (2), 554-559, 2019
32019
Red-black tree based NeuroEvolution of augmenting topologies
WR Arellano, PA Silva, MF Molina, S Ronquillo, F Ortega-Zamorano
Advances in Computational Intelligence: 15th International Work-Conference …, 2019
32019
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Cikkek 1–20