Fibers and Polymers

, 12:414 | Cite as

Prediction of various functional finishing treatments using artificial neural networks

  • Eylen Sema Namlıgöz
  • Süleyman Çoban
  • Pelin Gürkan Ünal


In this study, in order to produce different water-oil repellent and wrinkle resistant fabrics, 21 different kinds of blended woven fabrics were treated (padded and transfered) with both classic and nano chemicals according to 4 different levels of concentrations. Afterwards, water, oil repellency and wrinkle angle recovery properties of the fabrics were measured. The purpose of this study is to predict these aforementioned functional properties of the fabrics before manufacturing based on the fabric blend, treatment method, used chemicals and chemical concentrations with the help of multi layer perceptron, one of the most popular network architecture. As a result of the study, it can be concluded that multi layer perceptron method can also be used for the classification problems successfully.


Finishing Fabric Classification Multi layer perceptron 


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Copyright information

© The Korean Fiber Society and Springer Netherlands 2011

Authors and Affiliations

  • Eylen Sema Namlıgöz
    • 1
  • Süleyman Çoban
    • 1
  • Pelin Gürkan Ünal
    • 2
  1. 1.Ege UniversityBornova, IzmirTurkey
  2. 2.Department of Textile EngineeringNamık Kemal UniversityCorluTurkey

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