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《Control and Decision》 2009-02
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Gyroscopic drift combination forecasting model based on evidential reasoning

HU Chang-hua,SI Xiao-sheng,SHI Xiao-hua(Unit 302,Xi'an Institute of Hi-Tech,Xi'an 710025,China)  
According to the advantage of Dempster-Shafer(D-S)evidence theory in information fusion,evidential reasoning(ER)and support vector regression(SVR)prediction theory are combined to build a combination forecasting model,and combination forecasting algorithm based on ER is presented.This approach can overcome the weaknesses of conventional single prediction methods,such as the low precision and limitation in application.Gyroscopic drift as an example is used to realize combination forecasting.Finally,the result proves that the forecast model and combination forecasting algorithm based on ER are feasible and effective.
【Fund】: 国家自然科学基金项目(60736026);; 国家教育部新世纪优秀人才支持计划项目
【CateGory Index】: V241.5
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