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Automatic development of deep neural networks for improving numerical meteorological forecast

This paper briefly describes the examples of deep learning applications to scientific and technical problems, as well as the difficulties that may arise with these applications. The paper shows the importance of the automatic development of deep neural networks. The paper verifies the possibility of...

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Bibliographic Details
Date:	2024
Main Authors:	Doroshenko, А.Yu., Kushnirenko, R.V.
Format:	Article
Language:	Ukrainian
Published:	PROBLEMS IN PROGRAMMING 2024
Subjects:	deep learning automatic development of neural networks neuroevolution meteorological forecasting UDC 51:681.3.06
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/607
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Journal Title:	Problems in programming
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