基于改进BP人工神经网络的纱线拉伸性能预测研究

Predicting the Breaking Elongation of Ring Spun Cotton Yarns Using Improved BP Neural Network

本文研究了纱线拉伸性能预测问题.用HVI测试原棉指标,用USTERTESTER5～S400测试成纱指标,采用改进BP算法建立断裂伸长预测的模型,进行纱线的拉伸性能预测,结果表明改进BP模型预测速度和精度较好.

The Breaking Elongation of Cotton Yarns is an important yarn property. The model to predict the Breaking Elongation of Cotton Yarns is built based on improved BP neural network. HVI test results are used to train the neural nets. The experimental results show that the predicted models based on improved BP neural network are more precise and efficient.