Paper
7 December 2022 Forecast of meteorological values based on the model of a multilayer perceptron
Irina V. Del, Alexander V. Starchenko
Author Affiliations +
Proceedings Volume 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 1234166 (2022) https://doi.org/10.1117/12.2644805
Event: 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2022, Tomsk, Russia
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.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Irina V. Del and Alexander V. Starchenko "Forecast of meteorological values based on the model of a multilayer perceptron", Proc. SPIE 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1234166 (7 December 2022); https://doi.org/10.1117/12.2644805
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KEYWORDS
Meteorology

Atmospheric modeling

Mathematical modeling

Neural networks

Artificial neural networks

Data modeling

Neurons

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