Analysis of Two Modeling Methodologies for Predicting the Tensile Properties of Cotton-covered Nylon Core Yarns

Textile Research Journal

Volumn 77, Issue 8, 2007, Pages 565-571

  Gharehaghaji, Ali Akbar ^a   Shanbeh, Mohsen ^a   Palhang, Maziar ^a  

^a ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

artificial neural network; core spun yarn; multiple linear regression; tensile properties

Indexed keywords

ALGORITHMS; LINEAR REGRESSION; MATHEMATICAL MODELS; MEAN SQUARE ERROR; NEURAL NETWORKS; TENSILE PROPERTIES; YARN;

CORE-SPUN YARN; CORRELATION COEFFICIENT; MULTIPLE LINEAR REGRESSION;

NYLON TEXTILES;

COMPUTER SIMULATION; COTTON YARN; ELONGATION; NEURAL NETWORK; NYLON YARN; STRENGTH; TENSILE PROPERTY;

EID: 36348935506     PISSN: 00405175     EISSN: None     Source Type: Journal    
DOI: 10.1177/0040517507078061     Document Type: Article

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