TRIKOTAJ NUQSONLARINI ANIQLASHDA KONVOLYUTSION NEYRON TARMOQLARI (CNN), QO‘LLAB-QUVVATLOVCHI MASHINA (SVM) VA “RANDOM FOREST” ALGORITMLARINING SOLISHTIRMA TAHLILI

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Nashr qilingan: 2025-11-05
DOI: https://doi.org/10.66073/researchfocus.v4i10.1793
Kalit so‘zlar:
trikotaj nuqsonlari, konvolyutsion neyron tarmoqlari, qo‘llab-quvvatlovchi mashina, random forest, tasvir tahlili, sifat nazorati

Maqolaning asosiy mazmuni

Sherzod Qorabayev
Namangan davlat texnika universiteti image/svg+xml
Xusanxon Bobojanov
Jahongir Soloxiddinov
Namangan davlat texnika universiteti image/svg+xml
Sherzod Djurayev
Namangan davlat texnika universiteti image/svg+xml

Abstrak

ushbu tadqiqot trikotaj matolaridagi nuqsonlarni aniqlash uchun Konvolyutsion Neyron Tarmoqlari (CNN), Qo‘llab-quvvatlovchi Mashina (SVM) va Random Forest algoritmlarining samaradorligini solishtirmalı tahli qilishga bag‘ishlangan. 5000 ta tasvirdan iborat ma’lumotlar to‘plamida o‘tkazilgan eksperimentlar natijasida CNN modeli 96.8% aniqlik, SVM 89.3% va Random Forest 91.2% natijalarni ko‘rsatgan. Tadqiqot shuni ko‘rsatadiki, yuqori aniqlik talab qilingan vaziyatlarda CNN, hisoblash resurslari cheklangan bo‘lganda esa Random Forest afzalroq hisoblanadi. Ushbu natijalar trikotaj sanoati uchun avtomatlashtirilgan sifat nazorati tizimlarini loyihalashda amaliy ahamiyatga ega.

Maqola tafsilotlari

Nashr

Jild 4 Nomeri 10 (2025): Research Focus International Scientific Journal. 4-tom, 10-son (2025)

Bo'lim

05.00.00 – Texnik fanlar
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Qanday iqtibos keltirish kerak

TRIKOTAJ NUQSONLARINI ANIQLASHDA KONVOLYUTSION NEYRON TARMOQLARI (CNN), QO‘LLAB-QUVVATLOVCHI MASHINA (SVM) VA “RANDOM FOREST” ALGORITMLARINING SOLISHTIRMA TAHLILI. (2025). Research Focus International Scientific Journal, 4(10), 20-25. https://doi.org/10.66073/researchfocus.v4i10.1793

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