所属单位：美国伊利诺伊大学芝加哥分校
发表刊物：IEEE Transactions on Circuits and Systems-I: Regul
关键字：Backpropagation, neural networks, particle degeneracy, particle filters, resample–move, tracking.
摘要：Sequential Monte Carlo (SMC) methods, namely, particle filters, are powerful simulation techniques for sampling sequentially from a complex probability distribution. SMC can be used to solve some problems associated with nonlinear non-Gaussian probability distribution. Sampling is a key step for these methods and has vital effects on simulation results. Various sampling strategies have been proposed to improve the simulation results of SMC methods, but degeneracy of particles sometimes is very severe so that there are only a few particles having significant weights.
备注：本文由副编辑A. Kuh推荐。 WOS: 000261847400006; EI, Accession Number: 20090211844826.
合写作者：王卓, Ning Jin, Derong Liu,Zhongyu Pang*
论文类型：基础研究
文献类型：期刊
是否译文：否
发表时间：2008-12-12