摘要
运用灰色模型和ARIMA模型对意大利8个品牌的沙发颜色的色相进行预测,对预测结果进行比较分析,为沙发色彩的预测提供理论基础和科学依据。对2013-2019年提取的色彩色相数据建立GM(1,1)和ARIMA模型,同时对2017~2019年这三年的色相进行预测,并且对比了两种模型的实际值和预测值。灰色模型的残差值起伏较大,而ARIMA模型相对稳定,残差基本都在0.01左右。ARIMA模型的预测和意大利沙发颜色基本吻合,该模型可以用于沙发色彩色相的预测上,并且精确度高于灰色预测模型。
The grey model and ARIMA model were used to predict the color of sofas in eight Italian brands, and the prediction results were compared and analyzed to provide a theoretical basis and scientific basis for the prediction of sofa colors. The GM(1,1) and ARIMA model are established for the color and hue data extracted from 2013-2019 data. At the same time, the hue for the three years from 2017 to 2019 is predicted, and the actual and predicted values of the two models are compared. As a result, the residual value of the grey model fluctuates greatly, while the ARIMA model is relatively stable and the residuals are basically around 0.01. In conclusion, the prediction of the ARIMA model is basically consistent with the color of sofa in Italy. This model can be used for the prediction of the sofa color and hue, and the accuracy is higher than the grey prediction model.
出处
《家具与室内装饰》
2020年第2期52-53,共2页
Furniture & Interior Design
基金
江苏省自然科学基金青年基金项目(BK20150887)。
