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This paper explores the use of artificial neural networks (ANNs) for weather forecasting, highlighting their effectiveness in producing accurate predictions compared to traditional methods. It discusses the challenges posed by climate change and the impact of the COVID-19 pandemic on meteorological data accuracy. The study demonstrates that ANNs can significantly reduce deviations in weather forecasts, making them a valuable tool for various sectors reliant on accurate weather information.

Author

kmx7sx6bzk

Language

EN