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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
Neural Processing Letters(2)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018(1)
Engineering Applications of Artificial Intelligence(1)
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scopus(15)
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest
ArticleAbstract: In this paper, a new self-organizing artificial neural network called growing hierarchical neural foPalabras claves:Clustering, image segmentation, Self-Organization, TEXT MININGAutores:Benítez-Rochel R., Esteban José Palomo, Francisco Ortega-Zamorano, López-Rubio E.Fuentes:scopusFPGA implementation comparison between C-mantec and back-propagation neural network algorithms
Conference ObjectAbstract: Recent advances in FPGA technology have permitted the implementation of neurocomputational models, mPalabras claves:Constructive Neural Networks, Fpga, Hardware implementationAutores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., Juárez G.E.Fuentes:scopusFPGA implementation of the c-mantec neural network constructive algorithm
ArticleAbstract: Competitive majority network trained by error correction (C-Mantec), a recently proposed constructivPalabras claves:Circuit complexity, constructive neural networks (CoNN), on-chip learning, Threshold networksAutores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M.Fuentes:scopusEfficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers
ArticleAbstract: The well-known backpropagation learning algorithm is implemented in a field-programmable gate arrayPalabras claves:Embedded Systems, field-programmable gate array (FPGA), Hardware implementation, Microcontrollers, Supervised learningAutores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., Luque-Baena R.M., Urda D.Fuentes:scopusDigital cryptography implementation using neurocomputational model with autoencoder architecture
Conference ObjectAbstract: An Autoencoder is an artificial neural network used for unsupervised learning and for dimensionalityPalabras claves:Artificial Neural Network, ASCII Characters, Autoencoder, CryptographyAutores:Francisco Ortega-Zamorano, Francisco Quinga Socasi, Luis Zhinin-Vera, Oscar Chang, Rafael Valencia-Ramos, Ronny Xavier VelasteguíFuentes:scopusHigh precision FPGA implementation of neural network activation functions
Conference ObjectAbstract: The efficient implementation of artificial neural networks in FPGA boards requires tackling severalPalabras claves:Autores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., Juárez G.E., Perez J.O.Fuentes:scopusImplementation of the C-mantec neural network constructive algorithm in an arduino uno microcontroller
Conference ObjectAbstract: A recently proposed constructive neural network algorithm, named C-Mantec, is fully implemented in aPalabras claves:Arduino, Constructive Neural Networks, microcontrollerAutores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., José Luis Subirats, Molina I.Fuentes:scopusPiecewise Polynomial Activation Functions for Feedforward Neural Networks
ArticleAbstract: Since the origins of artificial neural network research, many models of feedforward networks have bePalabras claves:Activation functions, classification, Feedforward neural networks, regression, Supervised learningAutores:Domínguez E., Francisco Ortega-Zamorano, López-Rubio E., Muñoz-Pérez J.Fuentes:scopusLayer multiplexing FPGA implementation for deep back-propagation learning
ArticleAbstract: Training of large scale neural networks, like those used nowadays in Deep Learning schemes, requiresPalabras claves:Deep Neural Networks, Fpga, Hardware implementation, Layer multiplexing, Supervised learningAutores:Francisco Ortega-Zamorano, Franco L., Gómez I., Jerez-Aragonés J.M.Fuentes:scopusRed-Black Tree Based NeuroEvolution of Augmenting Topologies
Conference ObjectAbstract: In Evolutionary Artificial Neural Networks (EANN), evolutionary algorithms are used to give an additPalabras claves:Back-propagation, classification, NEAT, Red-black treeAutores:Francisco Ortega-Zamorano, María Molina-Miranda, Paul A. Silva, Saulo Ronquillo, William R. ArellanoFuentes:scopus