USING NEURAL NETWORKS FOR CLIMATE MODELING AND PREDICTION

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Yevrosiyo matematik nazariya va kompyuter fanlari jurnali
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Выпуск: Том 4 № 5 : Евразийский журнал математической теории и компьютерных наук
Раздел: Статьи
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Assistant teachers of Nukus branch of Tashkent University of Information Technologies named after Muhammad al-Khorazmi
info@in-academy.uz
Assistant teachers of Nukus branch of Tashkent University of Information Technologies named after Muhammad al-Khorazmi
info@in-academy.uz
Assistant teachers of Nukus branch of Tashkent University of Information Technologies named after Muhammad al-Khorazmi
info@in-academy.uz

Аннотация:

Climate modeling and prediction play a crucial role in understanding and combating the effects of climate change. As the Earth's climate becomes increasingly complex and unpredictable, there is a growing need for advanced tools and technologies to accurately forecast future trends. One such innovative approach is the use of neural networks - a form of artificial intelligence that mimics the human brain's ability to learn and adapt. By harnessing the power of neural networks, researchers and scientists are exploring new possibilities for improving the accuracy and efficiency of climate modeling and prediction. This article will take into account the potential benefits of using neural networks in climate science, highlighting their capabilities, applications, challenges, and future directions.

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Как цитировать:

Qonarbaev , D. ., Janibekov , I. ., & Saypnazarov , R. . (2024). USING NEURAL NETWORKS FOR CLIMATE MODELING AND PREDICTION. Евразийский журнал математической теории и компьютерных наук, 4(5), 20–23. извлечено от https://in-academy.uz/index.php/EJMTCS/article/view/32460

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