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自动化与信息科学期刊
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

卷:
卷 51, 2019 卷 50, 2018 卷 49, 2017 卷 48, 2016 卷 47, 2015 卷 46, 2014 卷 45, 2013 卷 44, 2012 卷 43, 2011 卷 42, 2010 卷 41, 2009 卷 40, 2008 卷 39, 2007 卷 38, 2006 卷 37, 2005 卷 36, 2004 卷 35, 2003 卷 34, 2002 卷 33, 2001 卷 32, 2000 卷 31, 1999 卷 30, 1998 卷 29, 1997 卷 28, 1996

自动化与信息科学期刊

DOI: 10.1615/JAutomatInfScien.v49.i3.40
pages 24-33

Usage of Preudoinversion and Regularization Methods in Adaptive Models of Structural Representation and Data Processing

Fedor G. Garashchenko
Kyiv National Taras Shevchenko University, Kyiv, Ukraine
Olga S. Degtyar
Kiev National Taras Shevchenko University, Ukraine

ABSTRACT

Mathematical models of presentation of data in structural form in static case, which are based on direct and dual problems of regularization and estimation of computational complexity of the corresponding methods, are given. Iteration schemes for correction of vector of unknown parameters in the case of dynamical entering of experimental data are developed on their basis. Estimates of convergence of the suggested iterative schemes in the class of ellipsoids, where phase restrictions are set in the form of parallelepiped, are obtained.


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