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Temperature Pbkp_rediction Using a Neofuzzy Neuron Approach

Abstract:

In this paper it’s presented a temperature pbkp_rediction application using a modified neofuzzy neuronbased approach. This approach is an easy and accurate method for obtaining pbkp_rediction results using climatic measurements from the previous days. The variables used for building the model are Temperature, Humidity, Dew Point, Wind speed, Pressure, Rain and Solar Radiation. It’s also presented the obtained results for temperature pbkp_rediction in Ibarra, Ecuador using three years data.

Año de publicación:

2022

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Red neuronal artificial
    • Lógica difusa

    Áreas temáticas:

    • Ciencias de la computación

    Contribuidores:

    Iván Bedón SuárezIván Bedón Suárez