Title :
Application of Data Mining Technology Based On BP Neural Network in Yarn Qualities Forecast
Author :
Wang Wen ; Fei Shumin ; Zheng Bo ; Wu Chengyun ; Wen Yaoqi
Author_Institution :
Dept. of Autom. Control, Southeast Univ., Nanjing, China
Abstract :
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.
Keywords :
data mining; neural nets; production engineering computing; raw materials; spinning (textiles); yarn; BP neural network; data mining; filoplume; raw cotton; spinning yarn quality; yarn qualities forecast; Cotton; Data analysis; Data mining; Databases; Neural networks; Predictive models; Spinning; Technology forecasting; Testing; Yarn; BP Neural Network; Data Mining; Yarn Quality Forecast;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280887
