Comparative Effectiveness of Some Approaches to Extracting Most Informative Factors Influencing Algae Bioproductivity

Pidnebesna, Halyna; Stepashko, Volodymyr

doi:10.1109/acit49673.2020.9208957

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сOrrelation-rating Algorithm Gmdh Coral Gmdh1

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2021

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Cited by 2 publications

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“…There is a real example of how the correlationrating algorithm CORAL GMDH is applied to solve the listed above problems of modeling . The proposed method of selection of informative arguments by means of correlation analysis belongs to the class of algorithms of GMDH with incomplete (directional) selection of models [36] .…”

Section: сOrrelation-rating Algorithm Gmdh Coral Gmdhmentioning

confidence: 99%

Application of the CORAL GMDH Algorithm for Modeling and Forecasting the National Income of Ukraine

Savchenko-Synyakova¹,

Tutova²,

Pidnebesna³

2021

Control syst. comput.

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CORAL GMDH is a method of the inductive approach. In this article it is used for modeling and forecasting socio-economic processes. Here the CORAL GMDH algorithm is applied to solve three problems: recovery of missing data, modeling of macroeconomic indicators, and forecasting the gross national income (GNI). Also, the CORAL GMDH algorithm is used to build models in the problem of modeling the dependence of GNI on socio-demographic indicators and develop recommendations on how the state can influence the level of human capital development in the country by influencing certain socio-demographic indices. The results of modeling for Ukraine, Belarus, and Poland are compared.

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Section: сOrrelation-rating Algorithm Gmdh Coral Gmdhmentioning

confidence: 99%