Modeling in the Class of Systems of Regression Equations by the Group Method of Data Handling

Alexander P. Sarychev

doi:10.1615/JAutomatInfScien.v45.i3.20

Journal of Automation and Information Sciences

Главный редактор: Arkadiy A. Chikriy (open in a new tab)

Ассоциированный редакторs: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Выходит 12 номеров в год

ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

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Modeling in the Class of Systems of Regression Equations by the Group Method of Data Handling

Том 45, Выпуск 3, 2013, pp. 4-22

DOI: 10.1615/JAutomatInfScien.v45.i3.20

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Alexander P. Sarychev
Institute of Technical Mechanics of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Dnepropetrovsk, Ukraine

Краткое описание

We proposed and investigate system criterion of regularity with partition of observation samplings into training and testing subsamplings for modeling in the class of systems of regression equations. Existence of optimal set of regressors is proved. We derive the condition of reduction of the optimal set of regression equations, which depends on parameters of the system of regression equations and sampling size.

Ключевые слова: system criterion of regularity, partition of observation samplings, training and testing subsamplings, modeling, existence of optimal set of regressors, condition of reduction, optimal set of regression equations, parameters of the

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