Temperature Prediction Using a Neofuzzy Neuron Approach-Reference-Cited by-同舟云学术

Temperature Prediction Using a Neofuzzy Neuron Approach

Published:2022-03-20 Issue: Volume:2 Page:7-11
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Author:

Rivas-Echeverría Francklin¹,Recalde Edmundo²,Bedón Iván³,Arciniegas Stalin³,Narváez David³

Affiliation:

1. Universidad de Los Andes Mérida, Edo. Mérida VENEZUELA

2. Escuela de Ciencias Agrícolas y Ambientales Pontificia Universidad Católica del Ecuador-sede Ibarra Ibarra, Provincia Imbabura ECUADOR

3. Escuela de Ingeniería Pontificia Universidad Católica del Ecuador-sede Ibarra Ibarra, Provincia Imbabura ECUADOR

Abstract

In this paper it’s presented a temperature prediction application using a modified neofuzzy neuronbased approach. This approach is an easy and accurate method for obtaining prediction 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 prediction in Ibarra, Ecuador using three years data.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Reference20 articles.

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