Knowledge Representation in Expert Systems: Structure, Classification, and Applications
DOI:
https://doi.org/10.69760/lumin.202400005Ключевые слова:
Expert systems, knowledge representation, inference mechanism, dynamic adaptability, machine learning integrationАннотация
This study explores the foundational principles, classification, and applications of expert systems, focusing on knowledge representation, inference mechanisms, and the challenges of dynamic adaptability. It highlights future trends, including integration with machine learning, user-friendly interfaces, and real-time scalability, emphasizing the transformative potential of expert systems in solving complex real-world problems.
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Опубликован
2024-12-05
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Articles
Лицензия
Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.
Как цитировать
Sabzaliyev, A. (2024). Knowledge Representation in Expert Systems: Structure, Classification, and Applications. Luminis Applied Science and Engineering, 1(2), 1-15. https://doi.org/10.69760/lumin.202400005
