Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. I. Prediction of yarn tensile properties | springerprofessional.de

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Fibers and Polymers

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01-02-2008

Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. I. Prediction of yarn tensile properties

Authors: Mustafa E. Üreyen, Pelin Gürkan

Published in: Fibers and Polymers | Issue 1/2008

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previous article Performance of neural network algorithms during the prediction of yarn breaking elongation

next article Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. II. Prediction of yarn hairiness and unevenness

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Title: Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. I. Prediction of yarn tensile properties
Authors: Mustafa E. Üreyen
Pelin Gürkan
Publication date: 01-02-2008
Publisher: The Korean Fiber Society
Published in: Fibers and Polymers / Issue 1/2008
Print ISSN: 1229-9197
Electronic ISSN: 1875-0052
DOI: https://doi.org/10.1007/s12221-008-0014-4

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