Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (31): 93-95.

• 学术探讨 • Previous Articles     Next Articles

Multiple linear regression about feedback Agent

WANG Yong1,2,HUANG Guo-xing1,LIU Jian-hua3,PENG Dao-gang2   

  1. 1.Information Institute,East China Normal University,Shanghai 200062,China
    2.Department of Computer Science and Technology,Shanghai University of Electric Power,Shanghai 200090,China
    3.Guilin College of Aerospace Technology,Guilin,Guangxi 541004,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-11-01 Published:2007-11-01
  • Contact: WANG Yong

一种关于反馈Agent的多元线性回归方法

王 勇1,2,黄国兴1,刘建华3,彭道刚2   

  1. 1.华东师范大学 信息学院,上海 200062
    2.上海电力学院 计算机科学与技术系,上海 200090
    3.桂林航天工业高等专科学校 计算机系,广西 桂林 541004
  • 通讯作者: 王 勇

Abstract: Multiple liner regression analysis is always used in data forecasting,yet the deviation can’t be avoided between the forecasting data and real data.In order to increase the precision,we used the feedback agent algorithm that regarded the deviation as new linear feedback variable for next multiple linear regression analysis.The paper verified the algorithm by the instance.

摘要: 多元线性回归方法常用于数据预测,预测数据和实际数据总会存在误差。为了提高预测精度,采用反馈Agent算法,把误差作为一个新的线性反馈自变量,用在下次的多元线性回归预测中。论文采用实例验证了该方法的有效性。