Artificial Neural Networks for Determining the Empirical Relationship between Meteorological Parameters and High-Level Cloud Characteristics

Artificial Neural Networks for Determining the Empirical Relationship between Meteorological Parameters and High-Level Cloud Characteristics

The special features of the applicability of artificial neural networks to the task of identifying relationships between meteorological parameters of the atmosphere and optical and geometric characteristics of high-level clouds (HLCs) containing ice crystals are investigated. The existing models des...

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Bibliographic Details
Main Authors: Olesia Kuchinskaia, Maxim Penzin, Iurii Bordulev, Vadim Kostyukhin, Ilia Bryukhanov, Evgeny Ni, Anton Doroshkevich, Ivan Zhivotenyuk, Sergei Volkov, Ignatii Samokhvalov
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
big data
artificial neural networks
simple multilayer perceptron
random forest method
cross-validation
atmosphere
Online Access:https://www.mdpi.com/2076-3417/14/5/1782

Internet

https://www.mdpi.com/2076-3417/14/5/1782

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