本文设计的基于灰色关联的最近邻纱线棉结预测模型预测纱线棉结指标数据集的

The nearest neighbor yarn neps prediction model based on gray correlation in this paper predicts that the relative error of the yarn neps indicator data set is basically within 10%, and the average relative error and root mean square error are very low. The prediction performance of the adjacent yarn neps prediction model is better, the data accuracy is higher, and the data amplitude fluctuation is smaller.

本文设计的基于灰色关联的最近邻纱线棉结预测模型预测纱线棉结指标数据集的相对误差基本在10%以内、平均相对误差和均方根误差都很低，所以基于灰色关联的最近邻纱线棉结预测模型的预测性能更好一点、数据精度更高一点、数据幅度波动更小一些。

In this paper, the nearest neighbor yarn nep prediction model based on the gray correlation is designed to predict the relative error of the yarn nep index data set within 10%, the average relative error and root mean square error are very low, so the prediction performance of the nearest neighbor yarn nep prediction model based on the gray correlation is better, the data accuracy is higher, and the data amplitude fluctuation is smaller.<br>