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)(4)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
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scopus(12)
Active learning using a constructive neural network algorithm
Conference ObjectAbstract: Constructive neural network algorithms suffer severely from overfitting noisy datasets as, in generaPalabras claves:Autores:Franco L., Jerez-Aragonés J.M., José Luis Subirats, Molina I.Fuentes:scopusDeep neural network architecture implementation on FPGAs using a layer multiplexing scheme
Conference ObjectAbstract: In recent years predictive models based on Deep Learning strategies have achieved enormous success iPalabras claves:Deep Neural Networks, Fpga, Hardware implementation, Layer multiplexing, Supervised learningAutores:Francisco Ortega-Zamorano, Franco L., Gómez I., Jerez-Aragonés J.M.Fuentes:scopusExtension of the generalization complexity measure to real valued input data sets
Conference ObjectAbstract: This paper studies the extension of the Generalization Complexity (GC) measure to real valued inputPalabras claves:Architecture size, CAIM, Discretization algorithms, neural network, Real-valued functionAutores:Franco L., Gómez I., Jerez-Aragonés J.M., José Luis SubiratsFuentes: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:scopusMulticlass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm
ArticleAbstract: The new C-Mantec algorithm constructs compact neural network architectures for classsification problPalabras claves:Multiclass pattern recognition, Neural networks, Supervised learningAutores:Franco L., Gómez I., Jerez-Aragonés J.M., José Luis SubiratsFuentes: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:scopusSolving scheduling problems with genetic algorithms using a priority encoding scheme
ArticleAbstract: Scheduling problems are very hard computational tasks with several applications in multitude of domaPalabras claves:Evolutionary and genetic algorithms, Job shop problems, Priority encoding schemeAutores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., José Luis Subirats, Juárez G.E., Mesa H., Turias I.Fuentes:scopus