Gürkan Ünal, PelinÖzdil, Nilgün2022-05-112022-05-1120151222-5347https://hdl.handle.net/20.500.11776/6689Yarn diameter is one of the most important properties that influence several properties of end products like cover factor, appearance and handle properties of the fabrics. In this study, it was aimed to analyse yarn diameter of cotton ring spun yarns with regard to the cotton fibre properties by using regression and artificial neural network models. Obtained equations and networks also compared with the yarn diameter of cotton ring spun yarns, which was developed by Peirce (1937). The results show that obtained regression equation gives good estimation of yarn diameter compared to Peirce's equation.eninfo:eu-repo/semantics/closedAccesscotton ring spun yarnsyarn diameterregressionartificial neural networkBreaking ElongationTensile PropertiesLinear-RegressionPredictionModelsArticle666317321Q3WOS:0003683200000012-s2.0-84971378295Q3