Abstract: Aiming at the fact that the current yarn quality prediction model for optimizing the spinning process could not meet the needs of practical production,support vector machine(SVM) method for yarn quality prediction was proposed.This study optimized the model parameters with″grid-research″method.Experimental results of wool yarn indicate that SVM model is able to simulate spinning process to a reasonably good accuracy,and more suitable for real spinning process than ANN model.