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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

Volumes:
Volumen 52, 2020 Volumen 51, 2019 Volumen 50, 2018 Volumen 49, 2017 Volumen 48, 2016 Volumen 47, 2015 Volumen 46, 2014 Volumen 45, 2013 Volumen 44, 2012 Volumen 43, 2011 Volumen 42, 2010 Volumen 41, 2009 Volumen 40, 2008 Volumen 39, 2007 Volumen 38, 2006 Volumen 37, 2005 Volumen 36, 2004 Volumen 35, 2003 Volumen 34, 2002 Volumen 33, 2001 Volumen 32, 2000 Volumen 31, 1999 Volumen 30, 1998 Volumen 29, 1997 Volumen 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v40.i3.50
pages 47-58

Investigation of Efficiency of Additional Determination Method of the Model Selection in the Modeling Problems by Application of GMDH Algorithm

Alexey G. Ivakhnenko
International Research and Training Center of Information Technlogies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kyiv
Evgeniya A. Savchenko
International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kyiv, Ukraine

SINOPSIS

The problem of optimal model selection often occurs in real problems of modeling because there can be several equally accurate models. For this case the method of model additional determination by additional bias criterion is proposed. At first the regularity criterion is calculated, then if it is impossible to select the optimal model, the additional bias criterion is calculated for the models that belong to the interval of uncertainty. The examples of model additional determination are shown in the selection problem of aircraft surface material.


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