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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

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

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v35.i4.10
10 pages

Determination of Regularities of Ions and Surface Interaction by Combinatorial GMDH Algorithm

Grigoriy A. Ivakhnenko
"Information Recourses Inc." company, London, Great Britain
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
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
Andrey B. Nadiradze
Moscow Aviation Institute, 4 Volokolamskoe Hgw., Moscow, 125993, Russia
Andrey 0. Rogov
Moscow State Academy of Light Chemical Technology, Russia

SINOPSIS

The example of application of a Group method data handling algorithm to detect the models of dependencies in data sample has been demonstrated. The algorithm was applied to detecting these dependencies by sampling the data of observations of ions and surface interaction. The account of secondary arguments enabled us to decrease the model (bias), i.e., to obtain more adequate model of approximation of the dependence searched for. For polynomial functions the algorithms of selecting the model optimal with respect to the external criterion and test of location were developed. These algorithms were developed by comparing the two versions of computations. In the first version at first a small set of the most accurate models was found, then one the most unbiased model was selected from them. In the second version one the most precise model was chosen from the set of the least biased models.


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