By Topic

Application of Data Mining Technology Based On BP Neural Network in Yarn Qualities Forecast

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Wang wen ; Department of Automatic Control, Southeast University, Nanjing 210096, China. Email: ; Fei Shumin ; Zheng Bo ; Wu Chengyun
more authors

In this paper, the sample database for data mining is designed by analyzing historical data of raw cotton properly and spinning yarn quality. Based on the above analytic result, we design the BP neural network model for spinning yarn qualities prediction. And the model was used to forecast and analyze the spinning strength, unevenness value and filoplume. Finally, simulation and test result show that the method has excellent effect.

Published in:

2006 Chinese Control Conference

Date of Conference:

7-11 Aug. 2006