基于灰色多元线性回归的纺机行业订单预测

Order Prediction Based on Grey Prediction and Multi- linear Regression for Textile Machinery Industry

针对纺织机械制造行业订单变化大,易受到市场多种因素影响的问题,通过建立灰色多元线性回归组合模型,降低了原始数据随机波动对预测结果的影响,通过多元线性回归的方法增强了模型对于多因素影响的适应性,通过某大型纺机制造企业的订单数据验证了组合模型的有效性。

The order in textile machinery industry always changes.It is easily affected by market factors.A grey multi-line-ar regression model was established for textile machinery industry.The original data random fluctuation effect on the predicted re-sults was reduced;and model＇s adaptability for multi-factors was enhanced by multi-linear regression method.The effective-ness of the combination model was tested through the order data of a large textile manufacturing company.