Forecast of the near ground air temperature based on the multilayer perceptron model

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DOI Доступ к ресурсу на сайте издателя			10.1088/1742-6596/1989/1/012025

Title: Forecast of the near ground air temperature based on the multilayer perceptron model
Creator: Del, Irina V.
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Starchenko, Alexander V.
Date: 2021
DOI: 10.1088/1742-6596/1989/1/012025
Description: In this study, a multilayer perceptron model is implemented for predicting meteorological values. Based on the known distribution of meteorological values for several previous days, the task was set to predict the values of the near ground air temperature. The overall mean square error for the entire forecast was 3.11 C. Comparison of various optimization methods showed the advantage of the method of Adaptive Moment Estimation. Comparison of the multilayer perceptron model forecasting results with the Weather Research and Forecasting numerical model forecast showed the promise of using neural networks to predict meteorological parameters at weather observation points.

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collection(s): Механико-математический факультет
Identifier: смотреть в электронном каталоге НБ ТГУ
Type: статьи в журналах
Source: Journal of Physics: Conference Series. 2021. Vol. 1989. P. 012025 (1-6)
Language: eng

Created: 08-11-2022

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Механико-математический факультет Forecast of the near ground air temperature based on the multilayer perceptron model