Francklin Rivas-Echeverría, Edmundo Recalde, Iván Bedón, Stalin Arciniegas, David Narváez, "Temperature Prediction Using a Neofuzzy Neuron Approach," Equations, vol. 2, pp. 7-11, 2022, DOI:10.37394/232021.2022.2.2
Francklin Rivas-Echeverría, Edmundo Recalde, Iván Bedón, Stalin Arciniegas, David Narváez. Temperature Prediction Using a Neofuzzy Neuron Approach.
Equations. 2022;2:7-11. 10.37394/232021.2022.2.2
EQUATIONS
Print ISSN: 2944-9146, E-ISSN: 2732-9976 An Open Access International Journal of Mathematical and Computational Methods in Science and Engineering
Volume 2, 2022
Temperature Prediction Using a Neofuzzy Neuron Approach
Authors: , , , ,
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.
Keywords:
Neofuzzy Neuron, Temperature prediction, artificial neural networks, fuzzy logic, Artificial Intelligence.
Pages: 7-11 DOI: 10.37394/232021.2022.2.2WSEAS Transactions on Equations, ISSN / E-ISSN: 2944-9146 / 2732-9976, Volume 2, 2022, Art. #2
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