ARTIFICIAL INTELLIGENCE METHODS AND NEURAL NETWORKS FOR SOLVING FORECASTING PROBLEMS

Авторы: Бийбосунова Салтанат Кенешбековна

Тип документа: Статья

Год издания: 2024

Ключевые слова: ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, NEURAL NETWORKS, MACHINE LEARNING MODELS AND ALGORITHMS, FORECASTING PROBLEMS

Библиографическая ссылка:
https://www.elibrary.ru/item.asp?id=69165237
Аннотация

It is no secret that in the past decade, advanced technologies, such as artificial intelligence (AI), have rapidly developed and are now at the forefront of modern computer science. The applications of AI are vast and varied, with many complex problems being successfully solved using these technologies. Some of the main areas of AI include machine learning, robust convolutional neural networks, deep machine learning, cloud computing and big data, pattern recognition theory, photo and video interpretation, machine translation, text analysis, data mining, drone control, and robotics. This paper discusses the latest state-of-the-art machine learning and neural network techniques to formulate and solve prediction problems. Whether you are a seasoned professional in the field or a newcomer, this paper will provide valuable insights and knowledge into the ever-evolving world of AI.

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