Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Yuriy Zaychenko"'
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 3, Pp 54-65 (2023)
The work considers intelligent methods for solving the problem of short- and middle-term forecasting in the financial sphere. LSTM DL networks, GMDH, and hybrid GMDH-neo-fuzzy networks were studied. Neo-fuzzy neurons were chosen as nodes of the hybri
Externí odkaz:
https://doaj.org/article/2e26ebe75dfc43918786308000d22be6
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 2, Pp 85-93 (2022)
In this paper, the breast cancer detection problem using convolutional neural networks (CNN) is considered. The review of known works in this field is presented and analysed. Most of them rely only on feature extraction after the convolutions and use
Externí odkaz:
https://doaj.org/article/9d34253dd8ba43c1b72e35479e842a84
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
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 2 (2021)
In this paper, the forecasting problem of share prices at the New York Stock Exchange (NYSE) was considered and investigated. For its solution the alternative methods of computational intelligence were suggested and investigated: LSTM networks, GRU,
Externí odkaz:
https://doaj.org/article/3647b55308ad4567b9b5e4847797589c
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
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 4 (2019)
During the last few years, Convolutional Neural Networks (CNN) have been widely used in Computer-Aided Detection and the medical image analysis. The main idea of this paper is to modify CNN’s architectures to achieve the better sensitivity and the
Externí odkaz:
https://doaj.org/article/fc7a78f6236f41f1bb389d3d5f96cdb9
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
Publikováno v:
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 4 (2018)
Розглянуто проблему класифікації пухлин молочної залози за медичними зображеннями. Для її вирішення запропоновано новий клас згортков
Externí odkaz:
https://doaj.org/article/655b624d0d5343559542db5e04c11aa3
Publikováno v:
Emerging Networking in the Digital Transformation Age ISBN: 9783031249624
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6f98b741ec4d7718b8a06bbaa2a9f34
https://doi.org/10.1007/978-3-031-24963-1_30
https://doi.org/10.1007/978-3-031-24963-1_30
Autor:
Yuriy Zaychenko, Oleksii Kuzmenko
Publikováno v:
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT).