string(4) "test" TIL VA TERMINAL TUSHUNCHASI | Academic International Conference on Multi-Disciplinary Studies and Education
Skip to main navigation menu Skip to main content Skip to site footer

Vol. 2 No. 7 (2024)
Academic International Conference on Multi-Disciplinary Studies and Education

Articles

TIL VA TERMINAL TUSHUNCHASI

Published 2024-11-25

  • Tojimamatov Israiljon Nurmamatovich
    • ,
  • Ibragimov Shavkat Ma’mirovich
    • ,
  • G’ulomjonova Sakinabonu Rashidjon qizi

Abstract

Suniy intelekt (SI) sohasida til va terminal tushunchalari muhim o‘rin tutadi. Bu  , asosan, suniy intelekt tizimlarining qanday ishlashi va inson tilini tushunishiga ta'sir ko‘rsatadi. Ushbu maqolada til va terminal tushunchalari, ularning o‘zaro aloqasi va suniy intelektdagi roli haqida batafsil ma'lumot beriladi Til — insonlar o‘rtasida aloqa o‘rnatish uchun foydalaniladigan tizimdir. Insonlar tabiiy tillar (masalan, o‘zbek, ingliz, fransuz) orqali fikr, hissiyot va ma'lumotlarni ifodalaydi. Suniy intelektda til, asosan, tabiiy tilni qayta ishlash (NLP) jarayonida qo‘llaniladi. NLP — bu suniy intelektning bir qismi bo‘lib, u kompyuterlar va insonlar o‘rtasidagi aloqa jarayonini yaxshilashga qaratilgan.

PDF

References

  1. Russell, S., & Norvig, P. (2016). "Artificial Intelligence: A Modern Approach." Pearson. Sun'iy intellektning keng qamrovli asoslarini taqdim etuvchi, sohaning eng mashhur darsliklaridan biri.
  2. LeCun, Y., Bengio, Y., & Hinton, G. (2015). "Deep learning." Nature, 521(7553), 436-444. Chuqur o'rganish sohasidagi asosiy tadqiqotlardan biri, bu soha qanday qilib kompyuterlar yordamida o'rganishni tubdan o'zgartirganini tushuntiradi.
  3. Murphy, K. P. (2012). "Machine Learning: A Probabilistic Perspective." The MIT Press. Mashinani o'rganishning ehtimoliy yondashuvlari va statistik modellash haqida qo'llanma.
  4. Hastie, T., Tibshirani, R., & Friedman, J. (2009). "The Elements of Statistical Learning: Data Mining, Inference, and Prediction." Springer. Statistik o'rganishning asosiy elementlari va ilmiy tadqiqotlar uchun muhim bir manba.
  5. Schmidhuber, J. (2015). "Deep learning in neural networks: An overview." Neural Networks, 61, 85-117. Sun'iy neyron tarmoqlari va chuqur o'rganishning rivojlanish tarixi va asosiy yutuqlari haqida sharh.
  6. Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. Convolutional neyron tarmoqlari yordamida tasvirni sinflandirishda erishilgan yutuqlar.
  7. Sutskever, I., Vinyals, O., & Le, Q. V. (2014). "Sequence to sequence learning with neural networks." Advances in neural information processing systems. Ketma-ket ma'lumotlarni o'rganishda neyron tarmoqlaridan foydalanish.
  8. Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., ... & Hassabis, D. (2016). "Mastering the game of Go with deep neural networks and tree search." Nature, 529(7587), 484-489. Sun'iy intellektning o'yinlardagi qo'llanilishi va muvaffaqiyatlari haqida tahlil.
  9. Nurmamatovich, T. I. (2024, April). SUN'IY NEYRONNING MATEMATIK MODELI HAMDA FAOLLASHTIRISH FUNKTSIYALARI. In " USA" INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE TOPICAL ISSUES OF SCIENCE (Vol. 17, No. 1).
  10. Nurmamatovich, T. I. (2024, April). SUNIY NEYRON TORLARINI ADAPTIV KUCHAYTIRISH USULI. In " USA" INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE TOPICAL ISSUES OF SCIENCE (Vol. 17, No. 1).
  11. Nurmamatovich, T. I. (2024). XEBB O’QITISH QOIDASI. " GERMANY" MODERN SCIENTIFIC RESEARCH: ACHIEVEMENTS, INNOVATIONS AND DEVELOPMENT PROSPECTS, 17(1).
  12. Nurmamatovich, T. I., & Azizjon o’g, N. A. Z. (2024). Neural network clustering methods. American Journal of Open University Education, 1(1), 16-18.
  13. Nurmamatovich, T. I., & Azizjon o’g, N. A. Z. (2024). The SQL server language and its structure. American Journal of Open University Education, 1(1), 11-15.
  14. Ortiqovich, Q. R., & Nurmamatovich, T. I. (2023). NEYRON TARMOQNI O‘QITISH USULLARI VA ALGORITMLARI. Scientific Impulse, 1(10), 37-46.
  15. Nurmamatovich, T. I., & Nabiyev, A. (2024). KUCHAYTIRISH USULLARI VA FILTERLASH HISOBIDAN KUCHAYTIRISH. " RUSSIAN" ИННОВАЦИОННЫЕ ПОДХОДЫ В СОВРЕМЕННОЙ НАУКЕ, 17(1).
  16. Nurmamatovich, T. I., & Nabiyev, A. (2024). KUCHAYTIRISH USULLARI VA FILTERLASH HISOBIDAN KUCHAYTIRISH. " RUSSIAN" ИННОВАЦИОННЫЕ ПОДХОДЫ В СОВРЕМЕННОЙ НАУКЕ, 17(1).
  17. Tojimamatov, I., & Doniyorbek, A. (2023). KATTA HAJMLI MA’LUMOTLAR AFZALLIKLARI VA KAMCHILIKLARI. ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ, 18(6), 66-70.
  18. Raximov, Q. O., Tojimamatov, I. N., & Xo, H. R. O. G. L. (2023). SUNIY NЕYRON TARMOQLARNI UMUMIY TASNIFI. Scientific progress, 4(5), 99-107.