Applications of Artificial Intelligence Methods in the Sizing Hairiness of Polyester/Cotton Blended Yarn Prediction
Sizing yarn hairiness is an important yarn property like yarn evenness and strength. This property is affected by many factors such as fiber properties, sizing instruction, sizing device condition, sizing process and processing parameters etc., which makes its prediction difficult also. In this paper, in order to predict the sizing yarn hairiness of sizing process, an ANN model is developed. By analyzing the results obtained, we can predict the sizing yarn hairiness of sizing process easily and accurately. The results show that the ANN model yields more accurate and stable predictions, which indicates that the ANN theory is an effective and viable modeling method. This study demonstrates that neural network is a useful tool for development of prediction models.
sizing yarn hairiness polyester/cotton sizing instruction processing parameters artificial neural network prediction
Zhao Bo
College of Textiles Zhongyuan University of Technology Henan, Zhengzhou, 450007, China
国际会议
太原
英文
194-197
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）