摘要
为解决当前贵金属价格预测方法预测误差较大的问题,提出基于数学模型的贵金属价格预测方法。首先,根据实际的预测需求及标准,提取互补集合经验模态分解(ComplementaryEnsemble Empirical Mode Decomposition,CEEMD)价格变动特征;其次,采用多层级的预测结构扩大设计的预测范围,设计多层级贵金属价格预测矩阵;最后,构建数学贵金属价格预测模型,采用梯级修正实现预测处理。测试结果表明,该方法的预测相对误差始终在0.2以下,证明其具有较高的应用价值。
To address the issue of significant prediction errors in current precious metal price prediction methods,a mathematical model-based precious metal price prediction method is proposed.Firstly,based on actual prediction needs and standards,extract the price fluctuation characteristics of Complementary Ensemble Empirical Mode Decomposition(CEEMD).Secondly,a multi-level prediction structure is adopted to expand the prediction range of the design,and a multi-level precious metal price prediction matrix is designed.Finally,construct a mathematical model for predicting the price of precious metals,and use cascade correction to achieve prediction processing.The test results show that the relative prediction error of this method is always below 0.2,which proves that it has high application value.
作者
黄美霞
HUANG Meixia(College of Mathematics and Information Engineering,Puyang Vocational and Technical College,Puyang Henan 457000,China)
出处
《信息与电脑》
2023年第9期28-30,共3页
Information & Computer
关键词
数学模型
贵金属
价格
预测方法
mathematical model
noble metal
price
prediction methods
作者简介
黄美霞(1981-),女,河南濮阳人,本科,讲师。研究方向:数学教育。
