What question did this study set out to answer?

The aim is to predict yarn unevenness using a MATLAB program based on artificial intelligence principles.

April 25, 20260 citationsOpen Access

MATLAB Code for Yarn Unevenness Prediction Using Artificial Intelligence

VPValentinus Galih Vidia Putra IIrwan MFMuhamad Fuchri

Key Points

The aim is to predict yarn unevenness using a MATLAB program based on artificial intelligence principles.
Used a second-order Response Surface Methodology (RSM) model for predictions.
Processed experimental data with two input variables: Spacer (mm) and Cradle Pressure (N).
Visualized results through plots and performance metrics.
Successfully predicted yarn unevenness (U%) using the model.
Demonstrated effective visualization of results with performance metrics.

Abstract

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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Cite This Study

Putra et al. (Wed,) studied this question.

synapsesocial.com/papers/69ec5a8888ba6daa22dac04a https://doi.org/https://doi.org/10.5281/zenodo.19706111

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