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Comparison of type-2 fuzzy integration for optimized modular neural networks applied to human recognition
OtherAbstract: In this paper optimization techniques for Modular Neural Networks (MNNs) and their combination withPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleApplication to Human Recognition
OtherAbstract: This Chapter presents the application of hierarchical modular granular neural networks with fuzzy agPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleFuzzy system optimization using a hierarchical genetic algorithm applied to pattern recognition
OtherAbstract: In this paper a new method of hierarchical genetic algorithm for fuzzy inference systems optimizatioPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleHierarchical Genetic Algorithm for Type-2 fuzzy Integration applied to Human Recognition
OtherAbstract: In this paper a new model of a Hierarchical Genetic Algorithm (HGA) for fuzzy inference system optimPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleHierarchical genetic optimization of modular neural networks and their type-2 fuzzy response integrators for human recognition based on multimodal biometry
OtherAbstract: In this paper we describe the application of a Modular Neural Network (MNN) for iris, ear and voicePalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:googleOptimal design of type-2 fuzzy systems for diabetes classification based on genetic algorithms
OtherAbstract: Diabetes has become a global health problem, where a proper diagnosis is vital for the life qualityPalabras claves:Autores:Daniela Estefanía Sánchez-RodríguezFuentes:google