ARTIFICIAL INTELLECT AND NEURON NETWORKS BASED ON INTELLECTUAL STUDY SYSTEMS IMPROVEMENT

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In this era of rapidly developing technologies in every aspect of life in the world, with virtual worlds, remote offices, cloud technologies, online practices, highly sensitive devices, and artificial intelligence technologies being used, the need to train specialists who can use these technologies, improve them, discover new innovative technologies, fully understand world experience, and contribute to the country's development at various stages through their knowledge and skills is one of the most important tasks. Artificial intelligence (SI) and neuron networks modern technologies development main from directions one is considered This technologies education process automation and in individualization important place holds Intellectual study systems (IOT) of students needs flexible way answer give receiver and education process efficient organize doer modern is the solution [2]. (1006.Kb)
Date
2025-04-30
Author
Yaxyayev, Sobir Jumakulovich
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Abstract
This article analyzes the role and importance of artificial intelligence (AI) and neural networks in improving intelligent learning systems. The possibilities of using artificial intelligence technologies in modern educational processes to enhance an individual approach and create a learning environment tailored to the abilities and needs of students are considered. Artificial intelligence models used for data processing and optimization in intelligent learning systems, their advantages and limitations are also discussed. This approach serves to develop innovative teaching methods and increase the efficiency of digital learning platforms.
URI
https://dspace.kstu.uz/xmlui/handle/123456789/410
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