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ORCIDYuriy P. Zaychenko
Person information
- affiliation: Igor Sikorsky Kyiv Polytechnic Institute, Institute for Applied System Analysis, Ukraine
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2020 – today
- 2023
[c19]Yevgeniy V. Bodyanskiy, Oleksii Kuzmenko
, Helen Zaichenko, Yuriy P. Zaychenko:
Application of Hybrid Neural Networks based on bagging and Group Method of Data Handling for forecasting. CSIT 2023: 1-6- [c18]Yuriy P. Zaychenko, Helen Zaichenko, Oleksii Kuzmenko:
Investigation of Hybrid Deep Learning Networks in Forecasting Energy Supply. IntSol 2023: 1-10 - [e3]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Roth Hubert, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Selected Papers of the III International Scientific Symposium "Intelligent Solutions" (IntSol-2023). Symposium Proceedings Kyiv - Uzhhorod, Ukraine, September 27-28, 2023., Kyiv - Uzhhorod, Ukraine, September 27-28, 2023. CEUR Workshop Proceedings 3538, CEUR-WS.org 2023 [contents] - 2022
- [c17]Yuriy P. Zaychenko, Oleksii Kuzmenko:
Investigation of hybrid deep learning networks and LSTM in the short term forecasting in financial sphere. CSIT 2022: 65-68 - [c16]Yuriy P. Zaychenko, Helen Zaichenko, Oleksii Kuzmenko:
Investigation of Artificial Intelligence Methods in the Short-Term and Middle-Term Forecasting in Financial Sphere. IT&I 2022: 80-89 - [e2]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Selected Papers of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021). Workshop Proceedings, Kyiv - Uzhhorod, Ukraine, September 28-30, 2021. CEUR Workshop Proceedings 3106, CEUR-WS.org 2022 [contents] - 2021
- [c15]Yuriy P. Zaychenko, Helen Zaichenko, Galib Hamidov:
Investigation of Convolutional Neural Networks in the Tasks of Medical Images Analysis and Classification of Breast Tumors. CISP-BMEI 2021: 1-6 - [c14]Yuriy P. Zaychenko, Galib Hamidov:
Hybrid Neo-Fuzzy Neural Networks Based on Self-Organization and Their Application for Forecasting in Financial Sphere. COLINS 2021: 64-70 - [c13]Yuriy P. Zaychenko, Helen Zaichenko, Galib Hamidov:
Investigation of recurrent networks LSTM in the problem of Covid-19 forecasting. CSIT (1) 2021: 9-12 - [c12]Yuriy P. Zaychenko, Helen Zaychenko, Galib Hamidov:
Investigation of Hybrid Neo-fuzzy Neural Networks in the Problem of Pandemic Forecasting. IntSol 2021: 13-24 - [c11]Yuriy P. Zaychenko, Galib Hamidov:
Hybrid GMDH Deep Learning Networks - State-of Art and New Prospective Trends. IT&I 2021: 135-145 - [e1]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Proceedings of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021), Kyiv-Uzhhorod, Ukraine, September 28-30, 2021. CEUR Workshop Proceedings 3018, CEUR-WS.org 2021 [contents] - 2020
- [c10]Yuriy P. Zaychenko, Helen Zaychenko:
Fuzzy Portfolio Optimization Problem Under Uncertainty and Its Solution. CSIT (1) 2020: 1-6
2010 – 2019
- 2019
- [c9]Yevgeniy V. Bodyanskiy, Yuriy P. Zaychenko, Nonna Kulishova, Galib Hamidov:
Spline-Orthogonal Extended Neo-Fuzzy Neuron. CISP-BMEI 2019: 1-6 - [c8]Yuriy P. Zaychenko, Michael Zgurovsky:
Banks Bankruptcy Risk Forecasting with Application of Computational Intelligence Methods. CSIT (1) 2019: 38-41 - [c7]Yuriy P. Zaychenko, Galib Hamidov:
Hybrid Fuzzy CNN Network in the Problem of Medical Images Classification and Diagnostics. ICNC-FSKD 2019: 883-891 - [c6]Yuriy P. Zaychenko, Helen Zaichenko:
Multicriteria Decision-Making Problems Under Uncertainty and Their Solution. ICNC-FSKD 2019: 1013-1023 - 2018
- [c5]Yuriy P. Zaychenko:
Investigation of Fuzzy Inductive Modeling Method in Forecasting Problems. CSIT (1) 2018: XL-XLIV - 2017
- [b1]Mikhail Z. Zgurovsky, Yuriy P. Zaychenko:
The Fundamentals of Computational Intelligence: System Approach. Studies in Computational Intelligence 652, Springer 2017, ISBN 978-3-319-35160-5, pp. 1-371 - [c4]Yuriy P. Zaychenko, Helen Zaychenko, Galib Hamidov:
Structure optimization of new generation networks. CISP-BMEI 2017: 1-5 - [c3]Michael Zgurovsky, Yuriy P. Zaychenko:
The application of fuzzy neural networks in corporations bankruptcy risk forecasting. CSIT (1) 2017: 187-191 - [c2]Yevgeniy V. Bodyanskiy, Olena O. Boiko, Yuriy P. Zaychenko, Galib Hamidov:
Evolving GMDH-neuro-fuzzy system with small number of tuning parameters. ICNC-FSKD 2017: 1321-1326 - 2016
- [c1]Yuriy P. Zaychenko:
Banks bankruptcy risk forecasting with application of FNN. CSIT 2016: 196-199
Coauthor Index
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