Forecasting model of product sales based on the chaotic v-support vector machine

被引：0
作者：
Wu Q. [1 ,2 ]
Yan H. [1 ]
机构：
[1] Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education, Southeast University
[2] Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2010年 / 46卷 / 07期
关键词：
Chaos; Genetic algorithm; Sale forecasting; Support vector machine;
D O I：
10.3901/JME.2010.07.128
中图分类号：
学科分类号：
摘要：
Aiming at the product sale time series of manufacturing enterprise with multi-dimension, small samples, nonlinearity, multi-peak, etc., chaotic mapping theory is combined with parameter optimization method of support vector machine, and a kind of chaotic v-support vector machine (SVM) named Cv-SVM is proposed. And then, a product sale forecasting method is put forward. The results of application in car sale forecasting show that the forecasting method based on Cv-SVM is effective and feasible. © 2010 Journal of Mechanical Engineering.
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页码：128 / 135
页数：7
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