Artificial Neural Network System for Prediction of Dimensional Properties of Cloth in Garment Manufacturing: Case Study on a T-Shirt

• Autorzy: Kalkanci M. , Kurumer G. , Öztürk H. , Sinecen M. , Kayacan Ö.

Identyfikatory

DOI

10.5604/01.3001.0010.2859

Warianty tytułu

PL

Zastosowanie sztucznego systemu sieci neuronowych do prognozowania wymiarów w produkcji odzieży: studium przypadku na koszulce

• Języki publikacji: EN

Abstrakty

EN

The purpose of the present study was to estimate dimensional measure properties of T-shirts made up of single jersey and interlock fabrics through artificial neural networks (ANN). To that end, 72 different types of T-shirts were manufactured under 2 different fabric groups, each was consisting of 2 groups: one with elastane and the other without. Each of these groups were manufactured from six different materials in three different densities through two different knitting techniques of single jersey and interlock. For estimation of dimensional changes in these T-shirts, models including feed-forward, back-propagated, the momentum learning rule and sigmoid transfer function were utilized. As a result of the present study, the ANN system was found to be successful in estimation of pattern measures of garments. The prediction of dimensional properties produced by the neural network model proved to be highly reliable (R2> 0.99).

PL

Celem pracy było oszacowanie wymiarów koszulek przy użyciu sztucznego systemu sieci neuronowych (ANN). W tym celu wyprodukowano 72 różne typy koszulek. Koszulki wyprodukowano z sześciu różnych materiałów o trzech różnych gęstościach za pomocą dwóch różnych technik dziewiarskich. W celu oszacowania zmian wymiarów koszulek wykorzystano modele oparte na sprzężeniu zwrotnym, propagowaniu wstecznym, regule uczenia się impulsów i funkcji przenoszenia sigmoidów. Na podstawie wyników badań stwierdzono, że system ANN okazał się skuteczny w szacowaniu wymiarów odzieży. Przewidywanie wymiarów uzyskanych przy wykorzystaniu modelu sieci neuronowych okazało się bardzo wiarygodne (R2> 0,99).

Słowa kluczowe

EN

cloth dimensional change; knitted fabric; relaxation; artificial neural networks

PL

wymiary odzieży; trykot; system sieci neuronowch

• Wydawca: Sieć Badawcza Łukasiewicz - Łódzki Instytut Technologiczny
• Czasopismo: Fibres & Textiles in Eastern Europe
• Rocznik: 2017
• Tom: Vol. 25, no. 4 (124)
• Strony: 135--140
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Kalkanci M.

• Pamukkale University, Buldan Vocational College, Denizli, Turkey

autor

Kurumer G.

• Dokuz Eylül University, Department of Textile Engineering, Izmir, Turkey

autor

Öztürk H.

• Dokuz Eylül University, Department of Mechanical Engineering, Izmir, Turkey

autor

Sinecen M.

• Adnan Menderes University, Department of Computer Engineering, Aydın, Turkey

autor

Kayacan Ö.

• Dokuz Eylül University, Department of Textile Engineering, Izmir, Turkey

Bibliografia

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• 2. Çetinel H, Öztürk H, Çelik E, Karlik B. Wear 261, 2006; 1064–1068.
• 3. Matusiak M. Application of Artificial Neural Networks to Predict the Air Permeability of Woven Fabrics. Fibres and Textiles in Eastern Europe 2015; 23, 1(109): 41-48.
• 4. Bhattacharjee D, Kothari VK. A Neural Network System for Prediction of Thermal Resistance of Textile Fabrics. Textile Research Journal 2007; 77, 4-12.
• 5. Hui CL, Lau TW, Ng SF, Chan KCC. Neural Network Prediction of Human Psychological Perceptions of Fabric Hand. Textile Research Journal 2004; 74, 375-383.
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• 16. Bhattacharya S. Application of Artificial Neural Networks for Prediction of Shrinkage of Single Jersey Cotton Knit Fabrics. 6th International Conference-TEXSCI 2007, 237-239, Czech Republic-Liberec.
• 17. Saravana KT, Sampath V. An Artificial Neural Network System for Prediction of Dimensional Properties of Weft Knitted Rib Fabric. Journal of the Textile Association 2011; 71(5): 247–250.
• 18. Saravana KT, Sampath VR. Prediction of Dimensional Properties of Weft Knitted Cardigan Fabric by Artificial Neural Network System. Journal of Industrial Textiles 2013, 42(4) 446–458.
• 19. Zhi-Hua Hu. A hybrid System Based on Neural Network and Immuneco-evolutionary Algorithm for Garment Pattern Design Optimization. Journal of Computers 2009; 4, 11.
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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).