RBF TURLARINING O‘QITISH ALGORITMI VA XOR MASALASI
Keywords:
Sun'iy intellekt, Mashinani o‘rganish, Radial Basis Function (RBF), XOR masalasi, Neyron tarmoqlari, O‘qitish algoritmlari, Radial asos funksiyalari, Markazlarni tanlash, Vazn ko‘effitsientlari.Abstract
Ushbu maqola, Radial Basis Function (RBF) tarmoqlarining o‘qitish algoritmlari va XOR masalasini hal etish bo‘yicha to‘liq ko‘rsatma beradi. Maqola, RBF tarmoqlarining asosiy tushunchalari, ularning qanday qilib o‘qitilishi, shuningdek, XOR masalasini qanday qilib samarali hal qilish mumkinligi haqida batafsil ma'lumot taqdim etadi. O‘qitish jarayonlarining turli usullari, jumladan markazlarni tanlash va vazn ko‘effitsientlarini sozlash metodlari, hamda bu jarayonlarning XOR masalasini hal qilishdagi ahamiyati tahlil qilinadi.
References
Broomhead, D. S., & Lowe, D. (1988). Multivariable Functional Interpolation and Adaptive Networks. Complex Systems, 2, 321-355.
Haykin, S. (2009). Neural Networks and Learning Machines (3rd ed.). Pearson.
Bishop, C. M. (1995). Neural Networks for Pattern Recognition. Oxford University Press.
Moody, J., & Darken, C. J. (1989). Fast Learning in Networks of Locally-Tuned Processing Units. Neural Computation, 1(2), 281-294.
XOR Problem and the Power of Representation Learning. (n.d.).
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, April). SUNIY NEYRON TORLARINI ADAPTIV KUCHAYTIRISH USULI. In " USA" INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE TOPICAL ISSUES OF SCIENCE (Vol. 17, No. 1).
Tojimamatov, I. N., Olimov, A. F., Khaydarova, O. T., & Tojiboyev, M. M. (2023). CREATING A DATA SCIENCE ROADMAP AND ANALYSIS. PEDAGOGICAL SCIENCES AND TEACHING METHODS, 2(23), 242-250.
Тожимаматов, И. Н. (2023). ЗАДАЧИ ИНТЕЛЛЕКТУАЛЬНОГО АНАЛИЗА ДАННЫХ. PEDAGOG, 6(4), 514-516.
Muqaddam, A., Shahzoda, A., Gulasal, T., & Isroil, T. (2023). NEYRON TARMOQLARDAN FOYDALANIB TASVIRLARNI ANIQLASH USULLARI. SUSTAINABILITY OF EDUCATION, SOCIO-ECONOMIC SCIENCE THEORY, 1(8), 63-74.
Raximov, Q. O., Tojimamatov, I. N., & Xo, H. R. O. G. L. (2023). SUNIY NЕYRON TARMOQLARNI UMUMIY TASNIFI. Scientific progress, 4(5), 99-107.
Ortiqovich, Q. R., & Nurmamatovich, T. I. (2023). NEYRON TARMOQNI O ‘QITISH USULLARI VA ALGORITMLARI. Scientific Impulse, 1(10), 37-46.
Tojimamatov, I. N., Mamalatipov, O., Rahmatjonov, M., & Farhodjonov, S. (2023). NEYRON TARMOQLAR. Наука и инновация, 1(1), 4-12.
Tojimamatov, I. N., Mamalatipov, O. M., & Karimova, N. A. (2022). SUN’IY NEYRON TARMOQLARINI O ‘QITISH USULLARI. Oriental renaissance: Innovative, educational, natural and social sciences, 2(12), 191-203.
Muqaddam, A., Shahzoda, A., Gulasal, T., & Isroil, T. (2023). NEYRON TARMOQLARDAN FOYDALANIB TASVIRLARNI ANIQLASH USULLARI. SUSTAINABILITY OF EDUCATION, SOCIO-ECONOMIC SCIENCE THEORY, 1(8), 63-74.
Raximov, Q. O., Tojimamatov, I. N., & Xo, H. R. O. G. L. (2023). SUNIY NЕYRON TARMOQLARNI UMUMIY TASNIFI. Scientific progress, 4(5), 99-107.
Raxmatjonova, M. N., & Tojimamatov, I. N. (2023). BIZNESDA SUNIY INTELEKT TEXNOLOGYALARI VA ULARNI AHAMIYATI. Лучшие интеллектуальные исследования, 11(3), 46-52.
