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《Acta Armamentarii》 2001-01
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STUDY AND APPLICATION ON FUZZY WEIGHTED RECURRENCE LEAST SQUARE ALGORITHM FOR REAL-TIME PARAMETER ESTIMATION METHOD OF TIME SERIES MODEL

Zhang Qi Guo Jianyi (Engineering Institute of Engineer's Corps, PLAUST)  
Parameter estimation is the key in building up a model in time series analysis Datum saturation will emerge and the parameters estimated will depart from actual ones in conventional recurrence least square algorithm when the data length increases beyond a threshold value The paper presents the basic theory and recurrence formulas for a fuzzy weighted recurrence least square algorithm in the time series model based on an analysis of the conventional recurrence least square algorithm The results of application of the simulation and analysis are applied upon random road roughness for military engineering vehicles
【CateGory Index】: TB114
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