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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
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scopus(5)
Extension 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: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:scopusNeural network architecture selection: Size depends on function complexity
Conference ObjectAbstract: The relationship between generalization ability, neural network size and function complexity have bePalabras claves:Autores:Franco L., Gómez I., Jerez-Aragonés J.M., José Luis SubiratsFuentes: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:scopus