The neural network spinning prediction model (BP and RBF Networks) trained by data from the mill can predict yarn qualities and spinning performance. The input parameters of die model are as follows: yarn count, diame...The neural network spinning prediction model (BP and RBF Networks) trained by data from the mill can predict yarn qualities and spinning performance. The input parameters of die model are as follows: yarn count, diameter, hauteur, bundle strength, spinning draft, spinning speed, traveler number and twist. And the output parameters are: yarn evenness, thin places, tenacity and elongation, ends-down. Predicting results match the testing data well.展开更多
文摘The neural network spinning prediction model (BP and RBF Networks) trained by data from the mill can predict yarn qualities and spinning performance. The input parameters of die model are as follows: yarn count, diameter, hauteur, bundle strength, spinning draft, spinning speed, traveler number and twist. And the output parameters are: yarn evenness, thin places, tenacity and elongation, ends-down. Predicting results match the testing data well.
