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基于动态组合技术的猪肉价格预测研究

发表时间:2011-10-31  浏览量:16192  下载量:7984
全部作者: 周全,李旸,陆丽莉,陈琛
作者单位: 安徽农业大学信息与计算机学院
摘 要: 通过对国内外现有猪肉价格预测研究成果的分析,确立了基于中国国情的猪肉价格影响指标,提出了动态组合预测方法,建立了动态组合预测模型。在实验中,将BP神经网络方法、最小预测误差平方和目标函数的预测模型及二者的动态组合模型三者进行比较,证明动态组合预测方法在预测精度方面的优势。
关 键 词: 计算机应用;价格预测;动态组合;生猪价格
Title: Pork price prediction research based on dynamic combination technology
Author: ZHOU Quan, LI Yang, LU Lili, CHEN Chen
Organization: Information and Computer School, Anhui Agricultural University
Abstract: By analyzing the results of existing research of pork prices forecast in the domestic and foreign country, and according to China's national conditions, this paper established a price impact index, proposed dynamic combination forecast techniques, and created a dynamic combination of predictive models. Through experiment, the paper compared the three models, which were BP neural network method for predicting, minimum prediction error squares as the objective function of the prediction model and dynamic combination model of two methods. The results show that dynamic combination forecast method has the advantage of high accuracy.
Key words: computer application; price expectation; dynamic combination; pig price
发表期数: 2011年10月第20期
引用格式: 周全,李旸,陆丽莉,等. 基于动态组合技术的猪肉价格预测研究[J]. 中国科技论文在线精品论文,2011,4(20):1882-1888.
 
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