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《ACTA PHYSICA SINICA》 2000-03
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PREDICTING LOW-DIMENSIONAL CHAOTIC TIME SERIES USING VOLTERRA ADAPTIVE FILERS 

ZHANG JIA\|SHU XIAO XIAN\|CI (Department of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 610054)  
Volterra adaptive filter is used to predict low\|dimensional chaotic time series based on the state space reconstruction of delay\|coordinate embedding of dynamic system.It is shown,through experiments of predicting eight kinds of low\|dimensional chaotic series using second\|order Volterra adaptive filters,that Volterra adaptive filters can accurately predict these chaotic series when the length N l of the Volterra filter is long enough,and the choice of N l is related to D 2 and smoothness of chaotic map.
【Fund】: 国防预研基金!(批准号 :98JS0 5 4 1 DZ0 2 0 5 )资助的课题
【CateGory Index】: O415
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