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Manual demonstrates predicting yarn unevenness using MATLAB program with AI principles based on RSM model.
This manual provides a step-by-step guide to running a MATLAB program designed to predict yarn unevenness (U%) using a second-order Response Surface Methodology (RSM) model based on artificial intelligence principles. The program processes experimental data with two input variables: Spacer (mm) and Cradle Pressure (N), to predict yarn unevenness and visualize the results through plots and performance metrics.
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Putra et al. (2025) studied this question.
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