Prediction of NEP of Rotor Spinning Yarn by Means of Intelligent Theory

In this work, we use a multi-layer perceptron (MLP) artificial neural network(ANN) model to predict the nep of rotor spun cotton yarn from the processing parameters. Statistical performance indicators such as MSE, MAE, and MAPE values of ANN are lower. Hence it can be said that the ANN gives more promising results. We believe that if the quantity of training data is increased, the results of the ANN model can also be improve. The predicted and experimental values agree well, indicating that the ANN models yield a better prediction, which is excellent method for predictors.