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Denim is a popular fabric among all of the age groups because of its good usage
performance and ability to provide convenience in adapting to changing trends in fashion. Apart
from the fashion and general performance properties, thermo-physiological comfort properties
such as air permeability are important for denim users. Fabric comfort depends on lots of factor
such as fabric structure and the types of fibers. Air permeability is a one of the comfort
properties of fabric is affected by many parameters of the fabric. A determination of the
relationship between the fabric parameters and the air permeability is highly complex and
difficult. For this reason, Artificial Neural Network model which has effective performance in
very complex problems was used. In the present study, an artificial neural network has been
used to predict air permeability amongst different denim production parameters. Finally, by
comparison with the experimental results, the efficacy of the proposed model was verified.
International Data Science & Engineering Symposium
IDSES
Esra AKGÜL
Emel AYDOĞAN
Yılmaz DELİCE