Machine learning techniques to predict solar radiation

The purpose of the research is to develop several machine learning models to predict UV-B radiation and determine the best algorithm, whose type of research is applied and experimental design of preexperimental type with a quantitative approach. The methodology used for the development was the KDD(K...

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Veröffentlicht in:	NeuroQuantology 2022-01, Vol.20 (6), p.7467
Hauptverfasser:	Giancarlo Sánchez Atuncar, Francisco Hilario Falcon
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial intelligence Cancer Decision trees Design of experiments Immune system Machine learning Neural networks Regression analysis Solar radiation Sun Sunburn & sun tanning Ultraviolet radiation
Online-Zugang:	Volltext
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