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  • Extreme learning machines for detecting the water quality for human consumption 

    Barría Valdebenito, Pedro; Zabala-Blanco, David; Ahumada-García, Roberto; Soto, Ismael; Dehghan Firoozabadi, Ali; Flores-Calero, Marco (2023)
    Determining the potability of water for consumption is crucial for human health. To assess the water quality, levels of minerals and ions are measured, such as pH, hardness, sodium, chloramines, sulfate, conductivity, ...

  • 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 ...