Xulosa - Qarshi davlat universiteti international scientific and practical conference on algorithms and current...

Xulosa.
Ushbu tadqiqotda biz O‘zbekistonda oliy ta’lim muassasalariga hujjat topshirgan
abiturentlarning imtihondagi muvaffaqiyatini neyro-noravshan tizimlar asosida bashorat
qilish modeli va Veb-saytini yaratdik. Ishlab chiqilgan ANFIS modeli abiturentlarning
muvaffaqiyatini bashoratlashda eng samarali usul deb qaralmoqda. Ushbu model
o‘zgaruvchilarining aynan bitta yo‘nalishga moslanmagini bois, barcha yo‘nalishda
tayyorlanayotgan abiturentlar uchun mos keladi. Ishlab chiqilgan model boshqa boshorat
modellariga qaraganda aniqroq ishlashi tekshirildi. Shundan so‘ng mazkur model asosida
foydalanuvchilar uchun qulaylik yaratish maqsadida Veb-sayt ishlab chiqildi. Veb-sayt
orqali abiturentlarning demografik va xulq-atvor ma’lumotlari asosida ularning
imtihonlarda to‘plashi mumkin bo‘lgan balni bashorat qilish imkoni mavjud. Bu esa
abituriyentlarga demografik va xulq-atvori ma'lumotlarini kiritishlari va imtihon
natijalarni taxminiy bilishlari uchun qulay platformani taqdim etadi. Bundan tashqari,
model va veb-sayt boshqa mamlakatlar yoki mintaqalarda foydalanish uchun
moslashtirilishi mumkin.
Qolaversa taxmin qilingan natija asosida, abiturentlarni imkoniyatlariga mos oliy ta’lim
muassasasiga yo‘naltirishga mo‘ljallangan tavsiya tizimini ishlab chiqish mumkin. Umuman
olganda, ushbu tadqiqot oliy ta'lim muassasalariga qabul jarayonini yaxshilash uchun
demografik va xulq-atvor ma'lumotlariga asoslangan yondashuvlardan foydalanish
imkoniyatlarini ta'kidlaydi va abituriyentlarning muvaffaqiyatini bashorat qilishda ANFIS
modeli samaradorligini ko‘rsatadi.
Foydalanilgan adabiyotlar ro‘yxati.
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Рудикова Л.В., О некоторых подходах к построению информационных моделей
городов
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