Predicting Yarn Unevenness Using Improved BP Neural Network

Abstract:

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The objective of this research is to predict yarn unevenness. The model of predicting yarn unevenness is built based on improved BP neural network. The improved BP neural networks are trained with HVI test results of cotton and USTER TENSOJET 5-S400 test results of yarn. The results show prediction models based on improved BP neural network are very precise and efficient.

Info:

Periodical:

Edited by:

Rui Wang and Huawu Liu

Pages:

219-222

DOI:

10.4028/www.scientific.net/AMR.331.219

Citation:

H. J. Li and X. H. Wang, "Predicting Yarn Unevenness Using Improved BP Neural Network", Advanced Materials Research, Vol. 331, pp. 219-222, 2011

Online since:

September 2011

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Price:

$35.00

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