Prediction of Yarn Unevenness Based on BP Neural Network

The objective of this research is to predict yarn unevenness. The model of predicting yam unevenness is built based on BP neural network. The BP neural networks are trained with HVI test results of cotton and USTER TENSOJET 5-S400 test results of yarn. The results show prediction models based on BP neural network are very precise and efficient.