Recurrent neural networks for the problem of improving numerical meteorological forecasts
This paper briefly describes examples of how deep learning can be applied to geoscientific problems, as well as the main difficulties that arise when scientists apply this technique to the problems of meteorological forecasting. This paper aims at comparing the two most popular types of recurrent ne...
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| Published in: | PROBLEMS IN PROGRAMMING |
|---|---|
| Date: | 2023 |
| Issue: | 4 |
| Pages: | 90-97 |
| ISSN: | 1727-4907 |
| Author Affiliations: |
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| Keywords: | “глибоке навчання”, глибокі нейронні мережі, рекурентна нейронна мережа, глибоке навчання, нейронні мережі глибинного навчання, метеорологічне прогнозування, глибинне навчання, метеорологічний прогноз, прогнозування погоди, глибоке навчання з підкріпленням |
| Main Authors: | , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
PROBLEMS IN PROGRAMMING
2023
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| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/596 |
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| Journal Title: | Problems in programming |
| Download file: |  |