Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Helen Zaychenko"'
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 1 (2022)
In this paper, the new class of deep learning (DL) neural networks is considered and investigated — so-called hybrid DL networks based on self-organization method Group Method of Data Handling (GDMH). The application of GMDH enables not only to tra
Externí odkaz:
https://doaj.org/article/ff2f72eb6f6648fe95f5b40be6054450
Autor:
Helen Zaychenko, Yuriy Zaychenko
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 2 (2020)
The problem of constructing an optimal securities portfolio under uncertainty is considered along with the direct and dual problems of fuzzy portfolio optimization. The modified fuzzy portfolio optimization problem is also suggested under a constrain
Externí odkaz:
https://doaj.org/article/bb8b5a540b7948ff80e333578a4126b2
Autor:
Yuriy Zaychenko, Helen Zaychenko
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 1 (2019)
This paper is devoted to the investigation and application of the fuzzy inductive modeling method known as Group Method of Data Handling (GMDH) in problems of Data Mining, in particularly its application to solving the forecasting tasks in financial
Externí odkaz:
https://doaj.org/article/8a1c02b2f9c34b778b10ba70b2bae1f1
Autor:
Yuriy P. Zaychenko, Helen Zaychenko
Publikováno v:
Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал, № 2
The problem of constructing an optimal securities portfolio under uncertainty is considered along with the direct and dual problems of fuzzy portfolio optimization. The modified fuzzy portfolio optimization problem is also suggested under a constrain
Publikováno v:
Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал, № 1
Розглянуто та досліджено новий клас мереж глибокого навчання — гібридні мережі глибокого навчання на основі методу самоорганізації МГ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32dfc87355faa858c8191eeba5258601
https://doi.org/10.20535/SRIT.2308-8893.2022.1.06
https://doi.org/10.20535/SRIT.2308-8893.2022.1.06
Autor:
Yuriy P. Zaychenko, Helen Zaychenko
Publikováno v:
2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT).
The problem of constructing an optimal portfolio of securities under uncertainty is considered in paper. In this work the fundamentals of novel theory of investment portfolio optimization under uncertainty is presented based on fuzzy set theory and e
Autor:
Yu., Zaychenko, Helen, Zaychenko
This paper is devoted to the investigation and application of fuzzy inductive modeling method in problems of forecasting in the financial sphere. The generalization of GMDH in case of uncertainty - new method fuzzy GMDH is described which enables to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7955686dcaab48ce3eeeffa98ef9817
https://doi.org/10.5772/intechopen.86348
https://doi.org/10.5772/intechopen.86348
Autor:
Helen Zaychenko, Yuriy P. Zaychenko
Publikováno v:
Information and Telecommunication Sciences; № 1 (2017); 5-10
Information and telecommunication sciences : international research journal, 2017, Vol. 8, N. 1(14)
Information and telecommunication sciences : international research journal, 2017, Vol. 8, N. 1(14)
Проблема. Розглядається проблема структурного синтезу мереж нового покоління при обмеженнях на показники якості обслуговування (QoS) рі
Autor:
Yuriy P. Zaychenko, Helen Zaychenko
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319668352
The problem of traffic management of different classes of service in NGN computer networks is considered. This problem is formulated as a rerouting problem of different classes flows under failures of channels and nodes while preserving the quality o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46b09160f2f87271669191d5fa5b766b
https://doi.org/10.1007/978-3-319-66836-9_4
https://doi.org/10.1007/978-3-319-66836-9_4
Autor:
Yuriy P. Zaychenko, Helen Zaychenko
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319519166
Algorithmic and software tools for new generation networks (NGN) design are elaborated and presented in this paper. The tools are based on original methods and algorithms suggested by authors and include algorithms for solution of numerous tasks: cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d085394c7ca71bc0d769964c1a85ef68
https://doi.org/10.1007/978-3-319-51917-3_14
https://doi.org/10.1007/978-3-319-51917-3_14