Prediction of the air permeability of woven fabrics using neural networks

International Journal of Clothing Science and Technology

Volumn 19, Issue 1, 2007, Pages 18-35

  Çay, Ahmet ^a   Vassiliadis, Savvas ^b   Rangoussi, Maria ^b   Tarakçioǧlu, Işik ^a  

^a EGE UNIVERSITY   (Turkey)

^b UNIVERSITY OF WEST ATTICA   (Greece)

Author keywords

Air; Drying; Modelling; Neural nets; Permeability; Porosity

Indexed keywords

DESIGN PARAMETERS; DESIGN/METHODOLOGY/APPROACH; GENERALIZED REGRESSION; LABORATORY TECHNIQUES; MULTIPLE LINEAR REGRESSIONS; NON-LINEAR MODEL; PREDICTION-BASED; STRUCTURAL PARAMETER;

AIR; DRYING; FABRICS; FORECASTING; LINEAR REGRESSION; MECHANICAL PERMEABILITY; MODELS; NEURAL NETWORKS; NONLINEAR SYSTEMS; POROSITY; TEXTILE INDUSTRY; VACUUM;

AIR PERMEABILITY;

DRYING; NEURAL NETWORK; PERMEABILITY; PHYSICAL PROPERTY; POROSITY; PREDICTIVE MODEL; STRUCTURAL PROPERTY; VACUUM; WOVEN FABRIC;

EID: 33845608176     PISSN: 09556222     EISSN: 17585953     Source Type: Journal    
DOI: 10.1108/09556220710717026     Document Type: Article

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