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ORCIDSerhiy Sveleba
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2020 – today
- 2024
[c6]Serhiy Sveleba, Ivan Katerynchuk, Ivan Kunyo, Volodymyr Brygilevych, Volodymyr Franiv, Oleksandr Krychevets:
Convolutional Neural Network with Optimized Learning Parameters. ACIT 2024: 170-173- [c5]Bohdan Melnyk, Serhiy Sveleba, Ivan Katerynchuk, Ivan Kunyo, Volodymyr Franiv:
Multilayer Neural Network Training Error when AMSGrad, Adam, AdamMax Methods Used. COLINS (1) 2024: 232-254 - [c4]Bohdan Melnyk, Serhiy Sveleba, Ivan Katerynchuk, Ivan Kunyo, Volodymyr Franiv:
Fractal structure of training of a three-layer neural network. MoMLeT 2024: 259-272 - 2023
- [c3]Sergiy Sveleba, Ivan Katerynchuk, Ivan Kunyo, Ostap Semotyjuk, Serhiy Velgosh, Volodymyr Brygilevych:
The Application of Optimization Learning Methods for Multilayered Neural Networks. ACIT 2023: 525-528 - 2022
- [c2]Sergiy Sveleba, Ivan Katerynchuk, Ivan Kunyo, Ostap Semotyjuk, Natalia Sveleba, Mykhailo Ozhha:
Gradient Methods for Teaching a Multilayer Neural Network to Recognize Printed Digits. ACIT 2022: 536-539 - 2020
- [c1]Sergiy Sveleba, Ivan Katerynchuk
, Ivan Karpa, Ivan Kunyo, Volodymyr Rak, Oleksandr Yashchyk:
Calculation and Behavior of Lyapunov's Exponents for Incommensurate Superstructure Described by Two-Components Parameter of Order. ACIT 2020: 200-203
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