首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于多输出支持向量机的物流量预测研究
引用本文:骆世广,叶赛,胡蓉.基于多输出支持向量机的物流量预测研究[J].华东交通大学学报,2010,27(5):67-71.
作者姓名:骆世广  叶赛  胡蓉
作者单位:[1]广东金融学院应用数学系,广东广州510521 [2]广东金融学院广东金融学院计算机科学与技术系,广东广州510521
摘    要:物流量预测问题受众多因素影响,而已有的方法都是用多输入单输出模型进行预测,因此难以获得满意的预测效果。一种多输出支持向量机的方法用于广州市的物流量的预测中,为了与单输出预测相比,选取自适应迭代支持向量机方法进行预测。结果表明,多输出支持向量机的预测是有效的。

关 键 词:物流量预测  自适应迭代支持向量机  多输出支持向量机

A Research of Forecasing the Logistics Amount Based on Multi-output Support Vector Regression
Luo Shiguang,Ye Sai,Hu Rong.A Research of Forecasing the Logistics Amount Based on Multi-output Support Vector Regression[J].Journal of East China Jiaotong University,2010,27(5):67-71.
Authors:Luo Shiguang  Ye Sai  Hu Rong
Institution:1.Department of Applied Mathematics,Guangdong University of Finance,Guangzhou 510521,China;2.Department of Computer Science and Technology,Guangdong University of Finance,Guangzhou 510521,China)
Abstract:The forcasting of logistics quantity is affected by many factors,The traditional method of forecasting is conducted by single-input model,which cannot achieve satisfactory forecasting results.A Multi-output Support Vector Regression(MOSVR) is used for forecasting Guangzhou's logistics amount,and Adaptive and Iterative Support Vector Machine(AISVM) is used for a contrast in this paper.The result showsthat the MOSVR is Effective.
Keywords:logistics forecast  adaptive and iterative support vector machine  multi-output support vector regression
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《华东交通大学学报》浏览原始摘要信息
点击此处可从《华东交通大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号