Machine learning techniques to predict solar radiation

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
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Zusammenfassung: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(Knowledge Discovery in Database) methodology which consists of the following stages:
ISSN:1303-5150
DOI:10.14704/nq.2022.20.6.NQ22747