计算机技术与发展2012，Vol.22Issue(3)：217-221,5.
基于改进变权重组合预测模型的产品销售预测
Prediction of Product Sales Based on Improved Combined Forecasting Model with Variable Weights
摘要
Abstract
Through the characteristic analysis of car product sale series, a combination forecast theory is introduced, and an improved combined forecasting model with variable weights is proposed. And then,the coefficient with variable weights estimation method is put forward. Considering the characteristics of multi-dimension, small samples, nonlinearity and multi-apex, three methods of monomial prediction based on support vector machine (SVM) are used in this paper. By analyzing the example, it shows that the improved combined forecasting model with variable weights has higher prediction accuracy than the monomial prediction model. Finally, the results of forecasting car sale indicate that the product sale forecasting method based on the improved combined forecasting model with variable weights is effective and feasible.关键词
变权重/组合预测/支持向量机/模型Key words
variable weights/combined forecasting/support vector machine/model分类
信息技术与安全科学引用本文复制引用
王方顺,严洪森,刘欣..基于改进变权重组合预测模型的产品销售预测[J].计算机技术与发展,2012,22(3):217-221,5.基金项目
国家自然科学基金资助项目(50875046,60934008) （50875046,60934008）
