Evaluation of Sewed Thread Consumption of Jean Trousers Using Neural Network and Regression Methods

Jaouachi, B.; Khedher, F.

doi:10.5604/12303666.1152518

Artykuł - szczegóły

Tytuł artykułu

Evaluation of Sewed Thread Consumption of Jean Trousers Using Neural Network and Regression Methods

Autorzy

Jaouachi B. , Khedher F.

Treść / Zawartość

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Identyfikatory

DOI

10.5604/12303666.1152518

Warianty tytułu

Określenie zużycia nici szewnych przy szyciu spodni dżinsowych przy zastosowaniu sztucznych sieci neuronowych i metod regresji

Języki publikacji

Abstrakty

This paper deals with the prediction of the sewing thread consumption of jean trousers using the neural network technique. The neural network results and analysis are discussed and investigated. Indeed the findings show that neural network consumption values give better fitting of experimental results than the ones obtained using regression technique. However, compared to the experimental consumption results, theoretical ones of the sewn jean pants seem widely predictable in the desired field of interest. Among the all parameters studied, statistical analysis results also indicate that five inputs can be considered as influential ones. When classifying these five influential inputs, only three parameters are considered most significant. In fact the thread consumed to sew jean trouser samples remains influenced especially by the thread properties and needle fineness as well. Compared with the regression model, the neural network model gives a more accurate prediction and to a great extent provides the amount of sewing thread.

Praca dotyczy przewidywania zużycia nici szewnych przy szyciu spodni dżinsowych stosując technikę sztucznych sieci neuronowych. Badania wykazują , że wyniki zapotrzebowania nici uzyskane za pomocą sztucznych sieci neuronowych są bardziej zgodne z eksperymentami niż te uzyskane techniką regresji. Przeprowadzając kolejne analizy, określono najbardziej racjonalną strukturę sztucznych sieci neuronowych z pięcioma wejściami i trzema parametrami mającymi najbardziej istotny wpływ na zużycie. Stwierdzono, że zależy ono głównie od właściwości nitki i rodzaju igły. Porównując wyniki otrzymane z zastosowania sztucznych sieci neuronowych z wynikami otrzymanymi za pomocą metody regresji stwierdzono, że pierwsza metoda daje lepsze wyniki.

Słowa kluczowe

consumption prediction sewing thread neural network regression

zużycie nici przewidywanie zużycia nici szycie spodni nici sztuczne sieci neuronowe regresja

Wydawca

Sieć Badawcza Łukasiewicz - Łódzki Instytut Technologiczny

Czasopismo

Fibres & Textiles in Eastern Europe

Rocznik

2015

Tom

Vol. 23, no. 3 (111)

Strony

91--96

Opis fizyczny

Bibliogr. 35 poz., rys., tab.

Twórcy

autor

Jaouachi B.

boubaker.jaouachi@gmail.com

Textile Engineering Laboratory, University of Monastir, Monastir, Tunisia

autor

Khedher F.

National Engineering School of Monastir, University of Monastir, Monastir, Tunisia
Textile Engineering Laboratory, University of Monastir, Monastir, Tunisia

Bibliografia

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Typ dokumentu

Bibliografia

Identyfikator YADDA

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