Abstract Least-square support vector machines (LSSVM) have been strongly moving from preliminary theoretical investigations into practical industrial applications. Successfully attaining a required color is a crucial task in the dyeing industry. In this paper, an LSSVM-based color quality prediction model for cotton fabrics dyed with a reactive dye using the conventional pad-dry-pad-steam (PDPS) process is proposed. The concentrations of the dye, sodium carbonate and sodium chloride, as well as the drying and steaming times were selected as the model inputs, while the CIE Lab value (L*, a*, b*) and the K/S value of the dyed fabric were used as the model outputs. The two prominent reactive dyes, Remazol Red and Remazol Navy, were used separately to dye cotton fabrics. The proposed LSSVM-based model gave mean absolute errors of less than 0.5 and 1.5 for predicting the K/S value and the CIE Lab value (L*, a*, b*), respectively. As well, the model had an acceptable average color difference ΔE* of less than 2.0 for the fabrics dyed using the PDPS process with both reactive dyes.

中文翻译：

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基于LSSVM的活性轧干轧蒸染色棉织物颜色预测

摘要 最小二乘支持向量机 (LSSVM) 已经从初步的理论研究转向实际的工业应用。成功获得所需颜色是染色行业的一项关键任务。在本文中，提出了一种基于 LSSVM 的颜色质量预测模型，用于使用传统的轧干轧蒸 (PDPS) 工艺用活性染料染色的棉织物。选择染料、碳酸钠和氯化钠的浓度，以及干燥和汽蒸时间作为模型输入，而 CIE Lab 值（L*、a*、b*）和 K/S 值作为模型输入。染色织物用作模型输出。两种著名的活性染料 Remazol Red 和 Remazol Navy 分别用于对棉织物进行染色。建议的基于 LSSVM 的模型给出的平均绝对误差小于 0.5 和 1。5 分别用于预测 K/S 值和 CIE Lab 值（L*、a*、b*）。同样，对于使用两种活性染料使用 PDPS 工艺染色的织物，该模型具有小于 2.0 的可接受的平均色差 ΔE*。