Mostrando 10 resultados de: 12
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
Advances in Intelligent Systems and Computing(2)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
Engineering Applications of Artificial Intelligence(1)
Expert Systems with Applications(1)
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Ciencias de la computación(5)
Programación informática, programas, datos, seguridad(4)
Física aplicada(3)
Funcionamiento de bibliotecas y archivos(2)
Escuelas y sus actividades; educación especial(1)
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Ciencias de la computación(6)
Red neuronal artificial(5)
Aprendizaje automático(4)
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Simulación por computadora(3)
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scopus(12)
Deep neural network architecture implementation on FPGAs using a layer multiplexing scheme
Conference ObjectAbstract: In recent years pbkp_redictive models based on Deep Learning strategies have achieved enormous succePalabras claves:Deep Neural Networks, Fpga, Hardware implementation, Layer multiplexing, Supervised learningAutores:Francisco Ortega-Zamorano, Franco L., Gómez I., Jerez-Aragonés J.M.Fuentes:scopusFPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm
ArticleAbstract: 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 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: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:scopusImproving learning and generalization capabilities of the C-Mantec constructive neural network algorithm
ArticleAbstract: C-Mantec neural network constructive algorithm Ortega (C-Mantec neural network algorithm implementatPalabras claves:C-Mantec, Constructive neural network, Feed-forward network, Learning and generalization properties, Loading problem, Support Vector MachineAutores:Francisco Ortega-Zamorano, Franco L., Gómez I., Jerez-Aragonés J.M., Mesa H.Fuentes:scopusLearning Style Identification by CHAEA Junior Questionnaire and Artificial Neural Network Method: A Case Study
Conference ObjectAbstract: By the lack of personalization in education, students obtain low performance in different subjects iPalabras claves:Artificial Neural Network, Automatic recognition, Learning styleAutores:Francisco Ortega-Zamorano, Guachi Robinson, Lorena Guachi-Guachi, Richard Torres-Molina, Stefania P.Fuentes:scopusUnsupervised learning by cluster quality optimization
ArticleAbstract: Most clustering algorithms are designed to minimize a distortion measure which quantifies how far thPalabras claves:Cluster quality measures, Clustering, K-Means, unsupervised learningAutores:Esteban José Palomo, Francisco Ortega-Zamorano, López-Rubio E.Fuentes:scopusPortable expert system to voice and speech recognition using an open source computer hardware
Conference ObjectAbstract: A portable an distributed expert system has been implemented in order to carry out voice and speechPalabras claves:artificial neural networks, Backpropagation, Hopfield, speech recognitionAutores:Andres E. Ponce, Daniel A. Armijos, Francisco Ortega-Zamorano, Hugo E. Betancourt, Paola N. MartinezFuentes:scopusSmart motion detection sensor based on video processing using self-organizing maps
ArticleAbstract: Most current approaches to computer vision are based on expensive, high performance hardware to meetPalabras claves:Arduino, Block processing, IMAGE PROCESSING, microcontroller, self-organizing mapAutores:Esteban José Palomo, Francisco Ortega-Zamorano, López-Rubio E., Molina-Cabello M.A.Fuentes:scopusSmart sensor/actuator node reprogramming in changing environments using a neural network model
ArticleAbstract: The techniques currently developed for updating software in sensor nodes located in changing environPalabras claves:Arduino, Constructive Neural Networks, microcontrollerAutores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., José Luis Subirats, Molina I.Fuentes:scopus