计算机工程与应用Issue(12)：235-240,254,7.DOI:10.3778/j.issn.1002-8331.1406-0142
基于混沌果蝇支持向量机回归的产品销售预测
Product sales forecasting based on Chaos Fruit Fly Support Vector Regres-sion
摘要
Abstract
Aiming at the product sale time series of manufacturing enterprise with multi-dimension, small samples, nonlin-earity, multi-peak, etc., a product sale forecasting method based on the chaotic fruit fly support vector regression is presented. Chaos mapping theory is combined with fruit fly optimization algorithm, thereby increasing fruit fly population diversity and search ergodicity, and chaos perturbation is added in the optimization process, which avoids the search being trapped in local optimum and increases the ability to search for feasible solutions. This paper verifies optimal performance of Chaos Fruit Fly Optimization Algorithm(CFOA)by examples, then applies CFOA to optimize parameters of Support Vector Regression(SVR), and builds sales forecasting model. The results of application show this model in sales prediction of auto parts is effective and feasible.关键词
支持向量机回归/混沌/果蝇算法/参数优化/销售预测Key words
Support Vector Regression(SVR)/chaos/fruit fly optimization algorithm/parameter optimization/sales forecasting分类
信息技术与安全科学引用本文复制引用
王大溪,胡志远,钱柳坚..基于混沌果蝇支持向量机回归的产品销售预测[J].计算机工程与应用,2015,(12):235-240,254,7.基金项目
国家十二五科技支撑计划（No.2012BAF12B18）；广西科技开发计划资助项目（No.桂科攻1348014-2）；广西科学技术与开发计划项目（No.桂科攻0815003-1）。 （）
