Building Vector Autoregressive Models Using COMBI GMDH with Recurrent-and-Parallel Computations

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“…− software tool for modeling and predicting complex interrelated processes on the basis of recurrent-and-parallel GMDH algorithms in the class of dynamic models of vector autoregression [74];…”

“…− dynamics of interdependent indicators of the energy and investment areas in the class of vector autoregression models for a short-term forecast [74,75]; − dependence of the sputtering (disruption) coefficient of a spacecraft surface under action of ionized gas jets on the physical properties of the surface coating [76]; − predicting the results of testing blood samples with medicines to determine the most effective for a patient; construction of classifiers for the differential diagnostics of blood diseases [77]. − quantitative assessment of the impact of sea water pollution with bitumoid substances on the total number of species of benthic organisms in the Sevastopol bays [78]; − modeling of the quantity of microorganisms in the soil depending on weather factors and the dose of contamination with heavy metals [79].…”

Comparative Studies of Self-organizing Algorithms for Forecasting Economic Parameters

“…GMDH is successfully used in data analysis and identification of patterns, modeling, forecasting [14], structural identification, clustering, classification, and pattern recognition [15,16].…”

Forecast Analyst as an Effective Tool for Decision Support in Digital Economy Systems

“…Insights 3. Програмний засіб для моделювання та прогнозування багатовимірних взає мо зв'я за них процесів у класі дискретних динамічних мо-делей векторної авторегресії з використанням оригінальних високопродуктивних перебірних алгоритмів МГУА на основі рекурентно-па ра лельних обчислень [23].…”