ADAPTIVE SPLIT-MERGE ALGORITHM FOR GAUSSIAN MIXTURE MODELS TO SOLVE THE KOLMOGOROV EQUATION

被引：0

作者：

Vishwajeet, Kumar ^{[1
]}

Singla, Puneet ^{[1
]}

机构：

[1] Univ Buffalo, Dept Mech & Aerosp Engn, Buffalo, NY 14260 USA

来源：

ASTRODYNAMICS 2013, PTS I-III | 2014年 / 150卷

关键词：

POLYNOMIAL-CHAOS; STATE;

D O I：

暂无

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Number of components in a Gaussian mixture model plays an important role in its accuracy and computational complexity. New adaptive split-merge technique is introduced in this paper based on the minimization of error in the solution of Fokker Planck Kolmogorov Equation. We also discuss the effect of splitting/merging of few components on the weights of other components. A single Gaussian component at initial time is split over time to account for the change in the probability density function of the states of the system.

引用

页码：977 / 988

页数：12

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