Искусственный интеллект, методы и технологии информационной безопасности
Международная научно-техническая конференция «Практическое применение технических и
цифровых технологий и их инновационных решений», ТАТУФФ, Фергана, 4 мая 2023 г.
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the network. It can analyze large datasets and make
predictions or decisions
based on patterns and relationships found in the data.
An Artificial Neural Network-based Intelligent Learning System is
particularly useful in educational settings because it can be trained to recognize
patterns in student performance data and provide
personalized feedback and
recommendations to students and teachers. It can also be used to develop
predictive models that can forecast future performance
and identify students
who may need additional support.[1,2]
This technology is being used in a variety of educational contexts, from
adaptive learning systems to
intelligent tutoring systems, to enhance student
learning and improve educational outcomes. It has the potential to revolutionize
the way that we teach and learn, making education more personalized, engaging,
and effective.
The methodology for an Artificial Neural
Network-based Intelligent
Learning System typically involves the following steps:
