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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
IEEE Transactions on Circuits and Systems I: Regular Papers(1)
Neural Computing and Applications(1)
Neural Networks(1)
Studies in Computational Intelligence(1)
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Ciencias de la computación(7)
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Programación informática, programas, datos, seguridad(3)
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scopus(8)
Committee c-mantec: A probabilistic constructive neural network
Conference ObjectAbstract: C-Mantec is a recently introduced constructive algorithm that generates compact neural architecturesPalabras claves:Committee networks, Constructive Neural Networks, Supervised classificationAutores:Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., José Luis Subirats, Luque-Baena R.M., Urda D.Fuentes:scopusC-Mantec: A novel constructive neural network algorithm incorporating competition between neurons
ArticleAbstract: C-Mantec is a novel neural network constructive algorithm that combines competition between neuronsPalabras claves:Active learning, Constructive neural network, Feed-forward network, generalization, Incremental learning, OverfittingAutores:Franco L., Jerez-Aragonés J.M., José Luis SubiratsFuentes:scopusA new decomposition algorithm for threshold synthesis and generalization of Boolean functions
ArticleAbstract: A new algorithm for obtaining efficient architectures composed of threshold gates that implement arbPalabras claves:Circuit complexity, generalization, Linear separability, Logic synthesis, Threshold networksAutores:Franco L., Jerez-Aragonés J.M., José Luis SubiratsFuentes:scopusActive 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:scopusOptimal synthesis of Boolean functions by threshold functions
Conference ObjectAbstract: We introduce a new method foi1 obtaining optimal architectures that implement arbitrary Boolean funcPalabras claves:Autores:Franco L., Gómez I., Jerez-Aragonés J.M., José Luis SubiratsFuentes: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:scopusMaxSet: An algorithm for finding a good approximation for the largest linearly separable set
Conference ObjectAbstract: Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard proPalabras claves:Autores:Franco L., Jerez-Aragonés J.M., José Luis SubiratsFuentes: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