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 | 105 | 2015 |
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 | 81 | 2017 |
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 | 46 | 2013 |
Unsupervised learning by cluster quality optimization E López-Rubio, EJ Palomo, F Ortega-Zamorano Information Sciences 436, 31-55, 2018 | 36 | 2018 |
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 | 33 | 2014 |
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 | 32 | 2014 |
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 | 28 | 2015 |
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 | 26 | 2016 |
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 | 15 | 2019 |
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 | 11 | 2017 |
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 | 9 | 2013 |
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 | 5 | 2016 |
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 | 4 | 2015 |
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 | 3 | 2023 |
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 | 3 | 2020 |
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 | 3 | 2020 |
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 | 3 | 2019 |
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 | 3 | 2019 |
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 | 3 | 2019 |
Risk analysis of the stock market by means self-organizing maps model GE Pilliza, OA Román, WJ Morejón, SH Hidalgo, F Ortega-Zamorano 2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM), 1-6, 2018 | 3 | 2018 |