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​​⚡️“Ilm-fan va innovatsion rivojlanish” jurnalining 2024-yil 2-sonida Toshkent axborot texnologiyalari universiteti “Axborot texnologiyalarining dasturiy ta’minoti” kafedrasi mudiri, t.f.d., dotsent Raximov Nodir Odilovich hamda tayanch doktorant Xasanov Dilmurod Rasul o‘g‘li tomonidan yozilgan “Mashinali o‘qitishning tasniflash algoritmlari yordamida mintaqalar kesimida ekinlarni tanlash” nomli maqola chop etilmoqda.

Ushbu maqolada qishloq xo‘jaligida hududlar va iqlim sharoitidan kelib chiqqan holda, keyingi mavsum uchun ekilishi mumkin bo‘lgan ekin turini tanlashda ko‘maklashuvchi tizim ishab chiqish maqsadida mashinali o‘qitish algoritmlari asosida bashorat qilish yondashuvi bo‘yicha tadqiqot olib borilganligi va uning natijalari o‘z aksini topgan. Tadqiqot davomida sun’iy intellekt modelini yaratish algoritmlarining asosiy matematik mohiyati, asosiy tushunchasi va giperparametrlari o‘rganilib, tadqiqot uchun tanlangan ma’lumotlar to‘plamidan foydalangan holda, har bir model tahlil qilindi va kerakli natijalar olindi.

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​​⚡️“Ilm-fan va innovatsion rivojlanish” jurnalining 2024-yil 2-sonida Toshkent axborot texnologiyalari universiteti “Axborot texnologiyalarining dasturiy ta’minoti” kafedrasi mudiri, t.f.d., dotsent Raximov Nodir Odilovich hamda tayanch doktorant Xasanov Dilmurod Rasul o‘g‘li tomonidan yozilgan “Mashinali o‘qitishning tasniflash algoritmlari yordamida mintaqalar kesimida ekinlarni tanlash” nomli maqola chop etilmoqda.

Ushbu maqolada qishloq xo‘jaligida hududlar va iqlim sharoitidan kelib chiqqan holda, keyingi mavsum uchun ekilishi mumkin bo‘lgan ekin turini tanlashda ko‘maklashuvchi tizim ishab chiqish maqsadida mashinali o‘qitish algoritmlari asosida bashorat qilish yondashuvi bo‘yicha tadqiqot olib borilganligi va uning natijalari o‘z aksini topgan. Tadqiqot davomida sun’iy intellekt modelini yaratish algoritmlarining asosiy matematik mohiyati, asosiy tushunchasi va giperparametrlari o‘rganilib, tadqiqot uchun tanlangan ma’lumotlar to‘plamidan foydalangan holda, har bir model tahlil qilindi va kerakli natijalar olindi.

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