摘要
采用灰色系统理论中的关联分析方法,对2012年影响沪铜期货价格的因素进行分析,挑选出主要的影响因素.以主要影响因素为输入向量,以参考价格为输出向量,建立了沪铜期货价格与主要影响因子之间的BP神经网络预测模型,并对沪铜期货价格进行了实证研究.实证研究结果表明:该方法预测精度较高、实用性强.
Using the relational analysis method of gray system theory ,this paper analyzed the main factors which affected Shanghai copper futures price in 2012 ,and selected out the main influencing factors .The input vector was the main influencing factors ,and the output was the reference price ,the BP neural network forecast model was established between Shanghai copper futures price and the main influencing factors .The empirical results showed that this method had a high prediction precision and strong practicality .
出处
《山东理工大学学报(自然科学版)》
CAS
2013年第6期47-51,共5页
Journal of Shandong University of Technology:Natural Science Edition
关键词
灰色关联分析
BP神经网络
期货
gray correlation analysis
BP neural network
futures