The prediction of elongation and recovery of woven bi-stretch fabric using artificial neural network and linear regression models

Fibres and Textiles in Eastern Europe

Volumn 14, Issue 2, 2006, Pages 46-49

  Ogulata, S Noyan ^a   Sahin, Cenk ^a   Ogulata, R Tugrul ^a   Balci, Onur ^a  

^a CUKUROVA UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Elongation; Recovery; Regression model; Woven fabric

Indexed keywords

COMPUTER SYSTEM RECOVERY; ELONGATION; FORECASTING; RECOVERY; STATISTICAL TESTS; WEAVING;

EXTENSION PROPERTIES; LINEAR REGRESSION MODELLING; PARAMETER METHODS; REGRESSION MODELLING; STRETCH FABRICS; TEST APPLICATIONS; TEST METHOD; TEST PARAMETERS; WOVEN FABRICS;

NEURAL NETWORKS;

ELONGATION; FABRIC PROPERTY; MATHEMATICAL MODEL; NEURAL NETWORK; STRETCH; TESTING; WOVEN FABRIC;

EID: 33745492183     PISSN: 12303666     EISSN: 23007354     Source Type: Journal    
DOI: None     Document Type: Article

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