Modelling the woven fabric strength using artificial neural network and Taguchi methodologies

International Journal of Clothing Science and Technology

Volumn 20, Issue 2, 2008, Pages 104-118

  Zeydan, Mithat ^a  

^a ERCIYES UNIVERSITY   (Turkey)

Author keywords

Fabric testing; Neural nets; Taguchi methods

Indexed keywords

DESIGN/METHODOLOGY/APPROACH; FABRIC PARAMETERS; FABRIC TESTING; MULTI-LINEAR RELATIONSHIPS; PRODUCTION PLANNING; ROOT MEAN SQUARED ERRORS; TAGUCHI DESIGN OF EXPERIMENT; TAGUCHI METHODOLOGY;

FABRICS; MANUFACTURE; NEURAL NETWORKS; PRODUCTION CONTROL; TAGUCHI METHODS; TEXTILE INDUSTRY; WEAVING; WOOL; YARN;

TENSILE STRENGTH;

FABRIC PROPERTY; JACQUARD; MATHEMATICAL MODEL; NEURAL NETWORK; STRENGTH; TESTING; WOVEN FABRIC; YARN;

EID: 40749140692     PISSN: 09556222     EISSN: 17585953     Source Type: Journal    
DOI: 10.1108/09556220810850487     Document Type: Article

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