SUN'IY INTELLEKT VA KATTA MA'LUMOTLAR ASOSIDA HAVO YUK TASHISH MARSHRUTLARINI OPTIMALLASHTIRISH MODELI
Keywords:
sun'iy intellekt, katta ma'lumotlar, mashinaviy o'qitish, marshrut optimallashtirish, havo yuk tashish, avia-logistika, prediktiv analitika, ko'p maqsadli optimallashtirish, Toshkent xalqaro aeroporti.Abstract
Mazkur tezisda havo transportida yuk tashish marshrutlarini sun'iy intellekt va katta ma'lumotlar texnologiyalari yordamida optimallashtirishning kontseptual va matematik modeli ishlab chiqilgan. Tadqiqot davomida mashinaviy o'qitish algoritmlari — uzun-qisqa muddatli xotira tarmog'i, gradiyentli kuchaytirish hamda mustahkamlovchi o'qitish yondashuvlari asosida ko'p maqsadli optimallashtirish modeli taklif etilgan. Model Toshkent xalqaro aeroporti (IATA kodi: TAS) misolida sinaldi va uning yuk tashish xarajatlarini 12–18% ga, marshrut samaradorligini esa 21% gacha oshirish imkonini berishi nazariy jihatdan asoslab berildi. Tadqiqot natijalari O'zbekistonning avia-logistika sektorini raqamli transformatsiya qilishda ilmiy va amaliy asos bo'lib xizmat qiladi.
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