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Comparison of Image Pre-processing for Classifying Diabetic Retinopathy Using Convolutional Neural Networks
OtherAbstract: Diabetes mellitus (DM) is a global health problem that results in different conditions, and one of tPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleComparison of optimization algorithms based on swarm intelligence applied to convolutional neural networks for face recognition
OtherAbstract: In this work, a comparison of optimization techniques based on swarm intelligence to design ConvolutPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleComparison of optimization techniques for modular neural networks applied to human recognition
Book PartAbstract: In this paper a comparison of optimization techniques for a Modular Neural Network (MNN) with a granPalabras claves:Autores:Daniela Estefanía Sánchez-Rodríguez, Juan Carpio, Melin P., Puga H., Sánchez D.Fuentes:googlescopusA new pbkp_rediction approach of the COVID-19 virus pandemic behavior with a hybrid ensemble modular nonlinear autoregressive neural network
OtherAbstract: We describe in this paper an approach for pbkp_redicting the COVID-19 time series in the world usingPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleConvolutional Neural Network Design Using a Particle Swarm Optimization for Face Recognition
OtherAbstract: In this work, the combination of convolutional neural networks (CNNs) and particle swarm optimizatioPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleDesign of Type-3 Fuzzy Systems and Ensemble Neural Networks for COVID-19 Time Series Pbkp_rediction Using a Firefly Algorithm
OtherAbstract: In this work, information on COVID-19 confirmed cases is utilized as a dataset to perform time seriePalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleFuzzy adaptation for particle swarm optimization for modular neural networks applied to iris recognition
OtherAbstract: In this paper a new Modular Neural Network (MNN) optimization is proposed, where a particle swarm opPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleFuzzy dynamic parameter adaptation for particle swarm optimization of modular granular neural networks applied to time series pbkp_rediction
OtherAbstract: In this paper the optimization of Modular Granular Neural Networks (MGNNs) using a Particle Swarm OpPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleMulti-objective hierarchical genetic algorithm for modular neural network optimization using a granular approach
OtherAbstract: In this paper we propose a multi-objective hierarchical genetic algorithm (MOHGA) for modular neuralPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleHierarchical genetic algorithms for fuzzy inference system optimization applied to response integration for pattern recognition
OtherAbstract: In this paper, a new method for fuzzy inference system optimization is proposed. The optimization coPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:google