This study focused on predicting tensile properties of PES/CV/PAN blended Open-End Rotor yarns. The
effective factors were fiber blend ratios (six stages from 0 to 100%), linear density (three count levels),
mixing method (carding machine and drawframe), and number of passages in drawframe (one and two
times) as production parameters. We performed a stepwise multiple linear regression (MLR) analysis
and established an artificial neural network (ANN) model that trained with backpropagation rule as
Levenberg–Marquardt. Then, we conducted a comparative analysis for both models in terms of prediction performance. As a result, ANN has given a slightly better prediction values than MLR for breaking strength but significantly better prediction values for breaking elongation.