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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
Yu. V. Nikitjuk, V. A. Prohorenko, O. M. Demidenko, V. S. Smorodin, A. V. Voruev, “Development of software tools for modeling and optimization of laser cutting parameters of brittle non-metallic materials”, PFMT, 2024, no. 3(60), 18–22  |
| 2. |
V. S. Smorodin, V. A. Prohorenko, “Intellectual adaptive control system with feedback connections”, PFMT, 2024, no. 1(58), 93–98 |
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2023 |
| 3. |
Yu. V. Nikitjuk, V. A. Prokhorenko, A. I. Kulyba, “Multi-criteria optimization of quartz glass laser cutting parameters using neural network simulation and genetic algorithm”, PFMT, 2023, no. 3(56), 26–31 |
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| 4. |
V. S. Smorodin, V. A. Prohorenko, “Stabilization of technological cycle parameters when constructing feedback control”, PFMT, 2023, no. 2(55), 83–88 |
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2022 |
| 5. |
Y. V. Nikitjuk, A. V. Semchenko, V. V. Sidsky, K. D. Danilchenko, V. A. Prohorenko, “Prediction of the properties of semiconductor Zn$_x$Mg$_y$O sol-gel layers using artificial neural networks”, PFMT, 2022, no. 1(50), 28–32 |
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2021 |
| 6. |
V. S. Smorodin, V. A. Prokhorenko, “Adaptive control system of a technological production process”, PFMT, 2021, no. 3(48), 96–102 |
| 7. |
Yu. V. Nikitjuk, A. N. Serdyukov, V. A. Prohorenko, I. Y. Aushev, “Application of artificial neural networks and finite element method for determining the parameters of elliptic laser beam treatment of quartz sol-gel glasses”, PFMT, 2021, no. 3(48), 30–36 |
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