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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
A. D. Smorodinov, T. V. Gavrilenko, A. O. Dubovik, D. A. Morgun, “Software for solving the Cauchy problem and visualizing heavy impurity flow simulation results”, Russian Journal of Cybernetics, 5:2 (2024), 35–45  |
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2023 |
| 2. |
A. D. Smorodinov, T. V. Gavrilenko, V. A. Galkin, “Theoretical foundations of artificial neural network application to approximation and interpolation problems”, Russian Journal of Cybernetics, 4:4 (2023), 41–53 |
| 3. |
A. D. Smorodinov, T. V. Gavrilenko, A. A. Rassadin, “Applicability of convoluted neural networks to the dataset fitting problem”, Russian Journal of Cybernetics, 4:3 (2023), 47–54 |
| 4. |
V. A. Galkin, A. D. Smorodinov, D. A. Morgun, “Solution of the Navier–Stokes equation for colliding jets”, Russian Journal of Cybernetics, 4:2 (2023), 8–15 |
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| 5. |
A. D. Smorodinov, T. V. Gavrilenko, V. A. Galkin, “Applicability of genetic algorithms for determining the weighting coefficients of an artificial neural network with one hidden layer”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 43:2 (2023), 69–86 |
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2022 |
| 6. |
V. A. Galkin, T. V. Gavrilenko, A. D. Smorodinov, O. P. Bobrovskaya, “Swarm intelligence algorithms applicability for minimizing various functions”, Russian Journal of Cybernetics, 3:4 (2022), 84–97 |
| 7. |
V. A. Galkin, T. V. Gavrilenko, A. D. Smorodinov, “Approaches to solving systems of linear algebraic equations using neural networks”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 40:3 (2022), 153–164  |
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| 8. |
V. A. Galkin, T. V. Gavrilenko, A. D. Smorodinov, “Some aspects of approximation and interpolation of functions artificial neural networks”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 38:1 (2022), 54–73 |
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