自动化与信息科学期刊
每年出版 12 期
ISSN 打印: 1064-2315
ISSN 在线: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Modeling in a Class of Autoregression Equations Systems in Conditions of Structural Uncertainty
卷 47,
册 7, 2015,
pp. 59-88
DOI: 10.1615/JAutomatInfScien.v47.i7.60
摘要
For modeling in a class of autoregression equations system there is developed the system criterion of regularity of Group Method of Data Handling with subdividing the observations into training and testing subsamples. The existence of the optimum set of regressors is proved. The condition of a reduction of the optimum system of regression equations is obtained. This condition depends on parameters of autoregression equations system and the size of samples.
键词: autoregression equations system, optimum set of regressors, training sample, testing sample, size of sample.
对本文的引用
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Sarychev O.P., Perviy B.A., Models of space object motion based on time series of TLE-elements, Technical mechanics, 2021, 1, 2021. Crossref
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