Comparative analysis of convolutional neural networks (cnn), support vector machine (svm) and “Random forest” algorithms in detecting knitted fabric defects

Sherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, Sherzod Djurayev, Шерзод Корабаев, Хусанхон Бобожанов, Джахонгир Солохиддинов, Шерзод Джураев, Sherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, Sherzod Djurayev

Research Focus · 2025-yil

Annotatsiya

This study is devoted to a comparative analysis of the effectiveness of Convolutional Neural Networks (CNN), Support Vector Machine (SVM) and Random Forest algorithms for detecting defects in knitted fabrics. As a result of experiments carried out on a dataset consisting of 5000 images, the CNN model showed an accuracy of 96.8%, SVM 89.3% and Random Forest 91.2%. The study shows that CNN is preferable in situations requiring high accuracy, whereas Random Forest is preferable when computational resources are limited. These results are of practical importance for designing automated quality control systems for the knitwear industry.

Maqola ma’lumotlari
MualliflarSherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, Sherzod Djurayev, Шерзод Корабаев, Хусанхон Бобожанов, Джахонгир Солохиддинов, Шерзод Джураев, Sherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, Sherzod Djurayev
JurnalResearch Focus
NashriyotВетеринария ИТИ ва “Илм-фан ва инновациялар академияси” МЧЖ
ISSN2181-3833
Nashr sanasi2025-11-05
Jild4
Son10
Betlar20-25
TilIngliz
Ilmiy sohaVeterinariya
DOI10.66073/researchfocus.v4i10.1793
Indeksga qo‘shilgan2026-09-12

DOI: 10.66073/researchfocus.v4i10.1793 · Maqolaning asl sahifasi

Kalit so‘zlar

trikotaj nuqsonlari, konvolyutsion neyron tarmoqlari, qo‘llab-quvvatlovchi mashina, random forest, tasvir tahlili, sifat nazorati, knitted fabric defects, convolutional neural networks, support vector machine, random forest, image analysis, quality control, дефекты трикотажа, свёрточные нейронные сети, метод опорных векторов, random forest, анализ изображений, контроль качества

Ilmiy soha

Veterinariya

Iqtibos keltirish

APASherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, Sherzod Djurayev, Шерзод Корабаев, Хусанхон Бобожанов, Джахонгир Солохиддинов, Шерзод Джураев, Sherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, & Sherzod Djurayev (2025). COMPARATIVE ANALYSIS OF CONVOLUTIONAL NEURAL NETWORKS (CNN), SUPPORT VECTOR MACHINE (SVM) AND “RANDOM FOREST” ALGORITHMS IN DETECTING KNITTED FABRIC DEFECTS. Research Focus, 4(10), 20-25. https://doi.org/10.66073/researchfocus.v4i10.1793
GOST (OAK)Sherzod Qorabayev va b. COMPARATIVE ANALYSIS OF CONVOLUTIONAL NEURAL NETWORKS (CNN), SUPPORT VECTOR MACHINE (SVM) AND “RANDOM FOREST” ALGORITHMS IN DETECTING KNITTED FABRIC DEFECTS // Research Focus. – 2025. – T. 4, № 10. – P. 20-25. – DOI: 10.66073/researchfocus.v4i10.1793.
MLASherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, Sherzod Djurayev, Шерзод Корабаев, Хусанхон Бобожанов, Джахонгир Солохиддинов, Шерзод Джураев, Sherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, and Sherzod Djurayev. “COMPARATIVE ANALYSIS OF CONVOLUTIONAL NEURAL NETWORKS (CNN), SUPPORT VECTOR MACHINE (SVM) AND “RANDOM FOREST” ALGORITHMS IN DETECTING KNITTED FABRIC DEFECTS.” Research Focus, 4(10), 20-25, 2025. https://doi.org/10.66073/researchfocus.v4i10.1793
ChicagoSherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, Sherzod Djurayev, Шерзод Корабаев, Хусанхон Бобожанов, Джахонгир Солохиддинов, Шерзод Джураев, Sherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, and Sherzod Djurayev. “COMPARATIVE ANALYSIS OF CONVOLUTIONAL NEURAL NETWORKS (CNN), SUPPORT VECTOR MACHINE (SVM) AND “RANDOM FOREST” ALGORITHMS IN DETECTING KNITTED FABRIC DEFECTS.” Research Focus, 4(10), 20-25 (2025). https://doi.org/10.66073/researchfocus.v4i10.1793
HarvardSherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, Sherzod Djurayev, Шерзод Корабаев, Хусанхон Бобожанов, Джахонгир Солохиддинов, Шерзод Джураев, Sherzod Qorabayev, Xusanxon Bobojanov, Jahongir Soloxiddinov, and Sherzod Djurayev (2025) ‘COMPARATIVE ANALYSIS OF CONVOLUTIONAL NEURAL NETWORKS (CNN), SUPPORT VECTOR MACHINE (SVM) AND “RANDOM FOREST” ALGORITHMS IN DETECTING KNITTED FABRIC DEFECTS’, Research Focus, 4(10), 20-25. https://doi.org/10.66073/researchfocus.v4i10.1793
BibTeX
@article{sherzodqorabayev2025,
  title = {COMPARATIVE ANALYSIS OF CONVOLUTIONAL NEURAL NETWORKS (CNN), SUPPORT VECTOR MACHINE (SVM) AND “RANDOM FOREST” ALGORITHMS IN DETECTING KNITTED FABRIC DEFECTS},
  author = {Sherzod Qorabayev and Xusanxon Bobojanov and Jahongir Soloxiddinov and Sherzod Djurayev and Шерзод Корабаев and Хусанхон Бобожанов and Джахонгир Солохиддинов and Шерзод Джураев and Sherzod Qorabayev and Xusanxon Bobojanov and Jahongir Soloxiddinov and Sherzod Djurayev},
  journal = {Research Focus},
  year = {2025},
  volume = {4},
  number = {10},
  pages = {20-25},
  doi = {10.66073/researchfocus.v4i10.1793},
  url = {https://doi.org/10.66073/researchfocus.v4i10.1793}
}

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