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Neural Computing and Applications(2)
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ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications(1)
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Classification by evolutionary generalized radial basis functions
Conference ObjectAbstract: This paper proposes a novelty neural network model by using generalized kernel functions for the hidPalabras claves:Autores:Adiel Castaño Méndez, Fernández-Navarro F., García M.M., Gutierrez P.A., Hervás-Martínez C.Fuentes:googlescopusEnforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis
ArticleAbstract: In the majority of traditional extreme learning machine (ELM) approaches, the parameters of the basiPalabras claves:Extreme learning machine, linear discriminant analysis, Neural networks, Principal Component AnalysisAutores:Adiel Castaño Méndez, Fernández-Navarro F., Hervás-Martínez C., Riccardi A.Fuentes:googlescopusNeuro-logistic models based on evolutionary generalized radial basis function for the microarray gene expression classification problem
ArticleAbstract: Gene expression detection is a key bioinformatic problem which has been tackled as a classificationPalabras claves:classification, evolutionary algorithm, Generalized radial basis function, logistic regression, Microarray gene expression, Neural networksAutores:Adiel Castaño Méndez, Fernández-Navarro F., Gutierrez P.A., Hervás-Martínez C.Fuentes:googlescopusPCA-ELM: A robust and pruned extreme learning machine approach based on principal component analysis
ArticleAbstract: It is well-known that single-hidden-layer feedforward networks (SLFNs) with additive models are univPalabras claves:classification, Extreme learning machine, Principal Component AnalysisAutores:Adiel Castaño Méndez, Fernández-Navarro F., Hervás-Martínez C.Fuentes:googlescopusPermanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods
ArticleAbstract: Recently, a novelty multinomial logistic regression method where the initial covariate space is incrPalabras claves:Evolutionary algorithms, logistic regression, Multi-classification, Neural networks, Permanent disability classificationAutores:Adiel Castaño Méndez, Fernández-Navarro F., Gutierrez P.A., Hervás-Martínez C.Fuentes:googlescopusTime series forecasting by recurrent product unit neural networks
ArticleAbstract: Time series forecasting (TSF) consists on estimating models to pbkp_redict future values based on prPalabras claves:Evolutionary neural networks, Product unit neural networks, Recurrent neural networks, Time series forecastingAutores:Adiel Castaño Méndez, de la Cruz M.A., Fernández-Navarro F., Gutierrez P.A., Hervás-Martínez C.Fuentes:googlescopus