November 10, 2025TextilesOpen Access

Research on the Construction of a Full-Color-Gamut Color Spinning Method and Neural Network Color Prediction System

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The neural network color-prediction system shows a mean color difference prediction of 0.909.
A total of 273 blended yarn fabrics were produced using a color-spinning method.
Assessment using a grid-based color-mixing model integrates eight primary color fibers in yarn production.
Highlights the potential of the color-prediction system for improving blended yarn production efficiency.

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Observational analysis shows mean color prediction accuracy of 0.909 for yarns, suggesting reliable color prediction in full-color-gamut production.

Zhu et al. (2025) studied this question.

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Observational analysis shows mean color prediction accuracy of 0.909 for yarns, suggesting reliable color prediction in full-color-gamut production.