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Listar por materia "Neural networks"

Mostrando publicaciones 1-4 de 4

  • A method to estimate grape phenolic maturity based on seed images 

    Avila, Felipe; Mora, Marco ORCID; Fredes, Claudio ORCID (2014)
    The timing of the grape harvest has a strong impact on wine quality. A recent line of studies proposes visual seed inspection by a trained expert to determine Phenolic Maturity. In this paper a method is presented to ...

  • Deep learning algorithm applied to bacteria recognition 

    Alegría Guajardo, Carlos E.; López-Cortés, Xaviera A.; Hernández Álvarez, Sergio (2022)
    Pathogenic bacteria are harmful microorganisms capable of causing diseases. To fight or eliminate those microorganisms, antibiotics with antimicrobial action have been developed wich can be synthetic or semi synthetic. ...

  • Fast tuning of extreme learning machine neural networks based with simple optimization algorithms 

    Tobar Valenzuela, Luis; Mora, Marco ORCID; Silva Pavez, Fabián; Torres-Gonzalez, Italo; Barría-Valdebenito, Pedro (2022)
    Extreme Learning Machine (ELM) is a neural network training paradigm that is characterized by simplicity, speed and high level of accuracy. The tuning of the network parameters is normally carried out with non-linear ...

  • Grape maturity estimation based on seed images and neural networks 

    Zuñiga, Alex; Mora, Marco ORCID; Oyarce, Miguel; Fredes, Claudio ORCID (2014)
    The grape phenolic maturity is one of the most important parameters to determine the optimal time for harvest. In this paper we propose an innovative methodology for the problem of how this task is performed today. In ...