METHODS FOR SOLVING MATHEMATICAL PROBLEMS USING ARTIFICIAL INTELLIGENCE

Авторы

  • Kaynarov Fazliddin Zarif o’g’li Автор

Ключевые слова:

Artificial intelligence, neural networks, deep learning (Deep Learning), regression, classification, optimization, simulation, differential equations, machine learning, genetic algorithms, mathematical modeling, error functions, physics-Informed Neural Networks (PINNs).

Аннотация

The article shows that solving mathematical problems can be more effectively implemented using artificial intelligence (AI) than traditional methods. Artificial intelligence, in particular neural networks and deep learning (Deep Learning) methods, significantly simplify and accelerate the process of solving mathematical and statistical problems. This work considers the application, capabilities and practical approaches of artificial intelligence methods in solving mathematical problems.

Биография автора

  • Kaynarov Fazliddin Zarif o’g’li

    Economics and Pedagogical University, Non-State Educational Institution, Mathematics Department, 3rd year student,

    Orcid ID: 0009-0009-9677-1849; Kaynarov.fazliddin@gmail.com

Загрузки

Опубликован

2025-03-24

Выпуск

Том 22 № 3 (2025): Modern education and development

Раздел

Articles

Как цитировать

METHODS FOR SOLVING MATHEMATICAL PROBLEMS USING ARTIFICIAL INTELLIGENCE. (2025). Modern Education and Development, 22(3), 248-262. https://scientific-jl.com/mod/article/view/5943