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

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5 Author(s)
Wang Wen ; Dept. of Autom. Control, Southeast Univ., Nanjing, China ; Fei Shumin ; Zheng Bo ; Wu Chengyun
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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:

Control Conference, 2006. CCC 2006. Chinese

Date of Conference:

7-11 Aug. 2006

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