An Intelligent Model to Predict Breaking Strength of Rotor Spun Yarns Using Gene Expression Programming

Exploring relationships between characteristics of a yarn and influencing factors is momentous subject to optimize the selection of the variables. Different modelling methodologies have been used to predict spun yarn properties. Developing a prediction approach with higher degree of precision is a s...

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Veröffentlicht in:	Journal of engineered fibers and fabrics Jg. 7; H. 2
Hauptverfasser:	Moghassem, Abdolrasool, Fallahpour, Alireza, Shanbeh, Mohsen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London, England SAGE Publications 01.06.2012
Schlagworte:	Rotor spun yarn Draw frame Breaking strength Production speed Break draft Artificial neural network Gene expression programming
ISSN:	1558-9250, 1558-9250
Online-Zugang:	Volltext
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