Keywords
Abstract
Ushbu maqolada texnologik jarayonlarni boshqarish tizimlarida sun’iy intellekt usullaridan foydalanish imkoniyatlari tahlil qilingan. Zamonaviy ishlab chiqarish tizimlarida texnologik jarayonlardan katta hajmdagi ma’lumotlarning olinishi ularni qayta ishlash, tahlil qilish va boshqaruv qarorlarini shakllantirishda sun’iy intellekt texnologiyalaridan foydalanish imkonini bermoqda. Maqolada mashinali o‘qitish, neyron tarmoqlar, chuqur o‘qitish va mustahkamlovchi o‘qitish usullarining texnologik jarayonlarni monitoring qilish, parametrlarni prognozlash, nosozliklarni oldindan aniqlash va boshqaruv parametrlarini optimallashtirishdagi imkoniyatlari ko‘rib chiqilgan. Shuningdek, an’anaviy avtomatik boshqaruv tizimlarini sun’iy intellekt asosidagi algoritmlar bilan integratsiyalashgan holda takomillashtirish masalalari yoritilgan. Tadqiqot natijasida texnologik jarayonlarni boshqarishning ma’lumotlarga asoslangan intellektual modelini shakllantirish tamoyillari taklif etilgan.
References
1. Russell S., Norvig P. Artificial Intelligence: A Modern Approach. Pearson.
2. Goodfellow I., Bengio Y., Courville A. Deep Learning. MIT Press.
3. Bishop C. M. Pattern Recognition and Machine Learning. Springer.
4. Haykin S. Neural Networks and Learning Machines. Pearson.
5. Seborg D. E., Edgar T. F., Mellichamp D. A., Doyle F. J. Process Dynamics and Control. Wiley.
6. Qin S. J., Yu J. Machine learning applications in process monitoring and control.
7. Lee J., Davari H., Singh J., Pandhare V. Industrial Artificial Intelligence for Industry 4.0-based manufacturing systems.
8. Kusiak A. Smart manufacturing. International Journal of Production Research.
9. Wuest T., Weimer D., Irgens C., Thoben K.-D. Machine learning in manufacturing: advantages, challenges, and applications.
10. Tao F., Qi Q., Liu A., Kusiak A. Data-driven smart manufacturing.
Internet manbalari
1. ScienceDirect — Data-driven smart manufacturing — Tao F., Qi Q., Liu A., Kusiak A. maqolasining rasmiy sahifasi.
2. ScienceDirect — Industrial Artificial Intelligence for Industry 4.0-based Manufacturing Systems — Lee J. va hammualliflarining maqolasi.
3. Taylor & Francis — Machine learning in manufacturing — Wuest T. va hammualliflarining maqolasi.
4. Taylor & Francis — Smart manufacturing — Andrew Kusiakning Smart manufacturing maqolasi.
5. Springer — Data Driven Smart Manufacturing Technologies and Applications — aqlli ishlab chiqarish, AI, deep learning va big data bo‘yicha ilmiy manba.