Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/10042
Title: A comparative approach to the prediction of open-end yarn breaking strength by regression and artificial neural network models
Authors: AmirHossein Mahlouji
Issue Date: Nov-2013
Description: THS TA404.8.A44 2013
URI: http://dspace.uniten.edu.my/jspui/handle/123456789/10042
Appears in Collections:COGS Thesis and Dissertations

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A COMPARATIVE APPROACH TO THE PREDICTION OF OPEN-END YARN BREAKING STRENGTH BY REGRESSION AND ARTIFICIAL NEURAL NETWORK MODELS- AMIRHOSSEIN MAHLOUJI.pdf
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