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Listar Artículos Científicos por materia "Neurons"

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  • A new fast training algorithm for autoencoder neural networks based on extreme learning machine 

    Vásquez-Coronel, José A; Mora, Marco ORCID; Vilches-Ponce, Karina; Silva Pavez, Fabián; Torres-Gonzalez, Italo; Barria-Valdevenito, Pedro (2022)
    Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...

  • Extreme learning machine for iris-based diabetes detection 

    Fernandez-Grandon, Carlos; Soto, Ismael; Zabala-Blanco, David (2023)
    This study proposes a methodology for iris-based diabetes detection in 130 subjects, in which geometric transformations and changes in brightness and contrast were applied to increase to 1300 images, and a selection of 10% ...

  • Multi-task extreme learning machine for palm vein multiclassification 

    Mascaró-Muñnoz, Agustín; Zabala-Blanco, David; Hernández-García, Ruber; Ahumada-García, Roberto; Barrientos, Ricardo ORCID (2023)
    Using biometric systems for individual identification is an alternative that provides excellent data security since this technology uses unique and distinctive information about a person. Palm vein recognition has been ...