Forecast of meteorological values based on the model of a multilayer perceptron

descriptionPublicationkeyboard_double_arrow_right Article 08 Dec 2022Publisher:SPIEJournal:28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

Authors: Del, Irina V.; Starchenko, Alexander V.;

doi: 10.1117/12.2644805

Forecast of meteorological values based on the model of a multilayer perceptron

- Summary
- Subjects
- Metrics

Abstract

The model of a multilayer perceptron has been developed and implemented to predict precipitation in a few hours based on the current state of meteorological parameters. The estimate of the model accuracy was 0.86, i.e. 86% of precipitation or no precipitation forecasts are predicted correctly.

Related Organizations

V.E. Zuev Institute of Atmospheric Optics
Russian Federation
Siberian Branch of the Russian Academy of Sciences
Russian Federation
National Research University of Electronic Technology
Russian Federation
National Research Tomsk State University
Russian Federation

Keywords

прогноз осадков, искусственные нейронные сети, многослойный перцептрон

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average