MIQDORIY ALOMATLAR VAZINLARI VA ULARNI INTERVALLARGA BO‘LISH
DOI:
https://doi.org/10.5281/zenodo.11195721Keywords:
Sun'iy intellekt, miqdoriy alomatla, intervallar, ma'lumotlar analizi, ma'lumotlar o'rganish, tahlil qilish, o'zgaruvchan ma'lumotlar, model qurishAbstract
Bu maqola, sun’iy intellekt sohasidagi miqdoriy alomatlar va ularni intervallarga bo'lish mavzusiga oid. Miqdoriy alomatlar, matematik modellarda, axborotlar analizida va sun'iy intellekt tizimlarida juda kritik ahamiyatga ega. Ular o‘zgaruvchan ma'lumotlarni ifodalovchi va tizimlar o'rganishida asosiy elementlar hisoblanadi. Bu maqolada, miqdoriy alomatlar va ularni intervallarga bo‘lishning muhimligi, ularni qanday qilib foydalanish, va ularni sun'iy intellekt sohasida qo'llanishini ta'kidlash uchun muhim nuqtalar ko'rsatiladi.
References
Stevens, S. S. (1946). "On the Theory of Scales of Measurement". Science, New Series, Vol. 103, No. 2684. Pages 677-680. DOI: 10.1126/science.103.2684.677
Michell, J. (1999). "Measurement Scales and Statistics: A Clash of Paradigms". Psychological Bulletin, Vol. 125, No. 4. Pages 442-455. DOI: 10.1037/0033-2909.125.4.442
Norman, G. (2010). "Likert scales, levels of measurement and the “laws” of statistics". Advances in Health Sciences Education, Vol. 15, No. 5. Pages 625-632. DOI: 10.1007/s10459-010-9222-y
DeVellis, R. F. (2012). Scale Development: Theory and Applications (3rd Edition). Sage Publications.
Kline, P. (2013). Handbook of Psychological Testing (2nd Edition). Routledge.
Gable, R. K., & Wolf, M. B. (1993). "Instrument Development in the Affective Domain: Measuring Attitudes and Values in Corporate and School Settings". Springer.
Nurmatovich, T. I. (2024). Bir qatlamli va ko ‘p qatlamli neyron to ‘rlari. ILM FAN XABARNOMASI, 1(1), 190-191.
Nurmamatovich, T. I., & Kudratullo o‘g, K. U. B. (2024). THE EVOLUTION OF AI: FROM EARLY CONCEPTS TO MODERN BREAKTHROUGHS. Лучшие интеллектуальные исследования, 20(2), 42-46.
Tojimamatov, I., & G’ulomjonova, S. (2024). NEYRO KOMPYUTERLAR VA ULARNING ARXITEKTURASI. Development of pedagogical technologies in modern sciences, 3(6), 10-16.
Tojimamatov, I., & Jo’rayeva, M. (2024). BOLSMAN MASHINASI VA UNING AHAMIYATI. Development and innovations in science, 3(4), 154-160.
Nurmamatovich, T. I., & Nozimaxon, E. (2024). Chiqish qatlami vaznlarni sozlash va xatoliklarni teskari tarqalishi algoritmi. ILM FAN XABARNOMASI, 1(1), 29-35.
Tojimamatov, I., & Ismoiljonova, O. (2024). BIR QATLAMLI PERCEPTRONNI O ‘QITISH. Академические исследования в современной науке, 3(12), 153-158.
Nurmamatovich, T. I. (2024, April). BIR QATLAMLI PERCEPTRONNI O ‘QITISH. In " CANADA" INTERNATİONAL CONFERENCE ON DEVELOPMENTS İN EDUCATİON, SCİENCESAND HUMANİTİES (Vol. 17, No. 1).
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).
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).
Nurmamatovich, T. I. (2024). XEBB O’QITISH QOIDASI. " GERMANY" MODERN SCIENTIFIC RESEARCH: ACHIEVEMENTS, INNOVATIONS AND DEVELOPMENT PROSPECTS, 17(1).
Tojimamatov, I., & G’ulomjonova, S. (2024). NEYRO KOMPYUTERLAR VA ULARNING ARXITEKTURASI. Development of pedagogical technologies in modern sciences, 3(6), 10-16.
