计算机技术与发展Issue(11)：107-109,113,4.DOI:10.3969/j.issn.1673-629X.2014.11.027
基于智能算法的价格预测模型探究
Research on Price Prediction Model Based on Intelligent Algorithm
摘要
Abstract
In order to estimate commodity prices,the purpose in this paper is to establish the forecasting price model. Firstly,through ex-pert consulting by the Delphi technique,the factors influencing commodity prices are determined. Secondly,after processing the factors, data are got,and abnormal data of them are eliminated according to Pauta criterion. Thirdly,with the influencing factors as input data,es-tablish the forecasting commodity prices model by means of the BP neural network algorithm. Finally,this algorithm is compared with the clustering analysis algorithm applied in the forecasting model. This forecasting model has been applied to predict the rose cut flowers. The experimental results show that this forecasting model can avoid defects of traditional BP algorithm,and has certain generality and practi-cality.关键词
BP神经网络/聚类分析/预测/价格Key words
BP neural network/clustering analysis/forecasting/price分类
信息技术与安全科学引用本文复制引用
孙吉红,张丽莲,武尔维,郜鲁涛,彭琳,钱晔..基于智能算法的价格预测模型探究[J].计算机技术与发展,2014,(11):107-109,113,4.基金项目
“十二五”国家科技支撑计划课题(2012BAD35B04) （2012BAD35B04）
国家自然科学基金资助项目(31260292) （31260292）
云南省教育科学研究基金项目(2012y367,2013J103) （2012y367,2013J103）
云南省自然基金项目(2008ZC050M) （2008ZC050M）
