2015 16th International Conference on Computational Problems of Electrical Engineering (CPEE) 2015
DOI: 10.1109/cpee.2015.7333385
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Intelligent recurrent-and-parallel computing for solving inductive modeling problems

Serhiy Yefimenko1,
Volodymyr Stepashko2
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Cited by 11 publications
(1 citation statement)
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“…Vector autoregressive (VAR) model generalizes the autoregression model to multidimensional case [21] . It is built by the stationary time series .…”
Section: Vector Autoregressive Models For Prediction Of Multidimensiomentioning
confidence: 99%

Recurrent-and-Parallel GMDH Algorithms for High-Performance Computing

Stepashko1,
Yefimenko2,
Pavlov3
2019
Control syst. comput.
2
0
0
0
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“…Vector autoregressive (VAR) model generalizes the autoregression model to multidimensional case [21] . It is built by the stationary time series .…”
Section: Vector Autoregressive Models For Prediction Of Multidimensiomentioning
confidence: 99%

Recurrent-and-Parallel GMDH Algorithms for High-Performance Computing

Stepashko1,
Yefimenko2,
Pavlov3
2019
Control syst. comput.
2
0
0
0
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An Evaluation of the Objective Clustering Inductive Technology Effectiveness Implemented Using Density-Based and Agglomerative Hierarchical Clustering Algorithms

Babichev
1
,
Durnyak
2
,
Pikh
3
et al. 2019
Advances in Intelligent Systems and Computing
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Improvement of a Sorting-Out GMDH Algorithm Using Recurrent Estimation of Model Parameters

Yefimenko1,
Stepashko2
2019
Advances in Intelligent Systems and Computing IV
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