基于支持向量机的空调控温过程实时预测

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (31): 219-221.

基于支持向量机的空调控温过程实时预测

肖晓萍¹,李自胜²,蒋刚²

1.西南科技大学工程技术中心,四川绵阳 621010
2.西南科技大学制造科学与工程学院,四川绵阳 621010

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-11-01 发布日期:2007-11-01
通讯作者: 肖晓萍

Real time forecast of temperature in process of air－conditioner running by Support Vector Machine

XIAO Xiao－ping¹,LI Zi－sheng²,JIANG Gang²

1.Engineering and Innovation Center,Southwest University of Science and Technology,Mianyang,Sichuan 621010,China
2.School of Manufacturing Science and Engineering,Southwest University of Science and Technology,Mianyang,Sichuan 621010,China

Received:1900-01-01 Revised:1900-01-01 Online:2007-11-01 Published:2007-11-01
Contact: XIAO Xiao－ping

摘要/Abstract

摘要： 分析了空调工作过程中温度控制的重要性与传统方法的不足,将基于统计学习理论的支持向量机方法用于控温过程中,对温度进行实时预测。采用数字实验对所提方法的可行性进行验证,结果表明该方法可以获得比传统方法更高的预测精度,实时性较高,能为空调控温系统提供更好的决策支持,具有较大的发展潜力和实用价值。

Abstract: This paper analyzed the importance of temperature control in the process of air－conditioner running and the shortcomings of traditional methods,used Support Vector Machine（SVM）,which based on Statistic Learning Theory（SLT）,to forecast future temperature values in the process,adopted numerical experiments to verify the feasibility of this method,and the experiment results suggested that it has higher precision and superior real time performance than traditional methods.This method can give better decision information to the temperature control system of air－conditioner.It seemed that SVM method has some applied value and a hopeful future in this area．

肖晓萍¹,李自胜²,蒋刚². 基于支持向量机的空调控温过程实时预测[J]. 计算机工程与应用, 2007, 43(31): 219-221.

XIAO Xiao－ping¹,LI Zi－sheng²,JIANG Gang². Real time forecast of temperature in process of air－conditioner running by Support Vector Machine[J]. Computer Engineering and Applications, 2007, 43(31): 219-221.