Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Olena O. Boiko"'
Publikováno v:
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC).
The hybrid evolving GMDH-neo-fuzzy system was suggested and investigated. The application of GMDH based on self-organization principle enables to build optimal structure of neo-fuzzy system and train weights of neural network in one procedure. The su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d60fc382458fcca24d71d5ed8646c3e
https://doi.org/10.1109/saic51296.2020.9239152
https://doi.org/10.1109/saic51296.2020.9239152
Autor:
Olena O. Boiko, Yevgeniy Bodyanskiy
Publikováno v:
Advances in Spatio-Temporal Segmentation of Visual Data ISBN: 9783030354794
Chapter considers new approaches based on computational intelligence methods for solving the tasks of fuzzy clustering-segmentation of data streams sequentially fed for processing. The known methods of probabilistic and potential clustering under con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0916f8d97f872c476276af22495feecc
https://doi.org/10.1007/978-3-030-35480-0_5
https://doi.org/10.1007/978-3-030-35480-0_5
Publikováno v:
IDAACS
In the paper, the 2D-deep neural network and the algorithm for its online learning are proposed. This system allows reducing the number of adjustable weights due to the rejection of the vectorization-devectorization operations. As a result, it saves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1035227ac0b99c179be1d8535d739092
https://doi.org/10.1109/idaacs.2019.8924281
https://doi.org/10.1109/idaacs.2019.8924281
Publikováno v:
International Journal of Intelligent Systems and Applications. 8:1-7
Neo-fuzzy elements are used as nodes for an evolving cascade system. The proposed system can tune both its parameters and architecture in an online mode. It can be used for solving a wide range of Data Mining tasks (namely time series forecasting). T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a6bd5ef5a61e59f582b2812b97e72f2
https://doi.org/10.5815/ijisa.2016.09.01
https://doi.org/10.5815/ijisa.2016.09.01
Publikováno v:
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC).
In the paper the evolving GMDH-neuro-fuzzy systems (Group Method of Data Handling) are presented. The main advantage of these systems is small number of tuning parameters. It simplifies the training algorithms and decrease training time comparing wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2f74e9af53887ae4ec5425bdf3a0717
https://doi.org/10.1109/saic.2018.8516755
https://doi.org/10.1109/saic.2018.8516755
Publikováno v:
FedCSIS
A deep evolving stacking convex neo-fuzzy network is proposed. It is a feedforward cascade hybrid system, the layers-stacks of which are formed by generalized neo-fuzzy neurons that implement Wang-Mendel fuzzy reasoning. The optimal in the sense of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f718ba658c53ffcac6b20be2d2c4d2a7
https://doi.org/10.15439/2018f200
https://doi.org/10.15439/2018f200
Publikováno v:
2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).
A deep 2D-neural network and its learning algorithm are proposed. This system is based on the 2D analogue of the elementary Rosenblatt's perceptron, the error backpropagation procedure, and the matrix analogue of the Kaczmarz-Widrow-Hoff algorithm. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31324264a3b365cc83f5565b0f325289
https://doi.org/10.1109/dsmp.2018.8478578
https://doi.org/10.1109/dsmp.2018.8478578
Publikováno v:
ICNC-FSKD
In the paper a new class of evolving fuzzy networks is suggested, namely the evolving GMDH-neuro-fuzzy systems (Group Method of Data Handling). Their main advantage is a small number of tuning parameters that simplifies the training algorithms and cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c674d3284dabebde8bf13cd2cdc54ec7
https://doi.org/10.1109/fskd.2017.8392957
https://doi.org/10.1109/fskd.2017.8392957
Autor:
Olena O. Boiko-Slobozhan, Liubov M. Kаsianenko, Nataliа I. Atamanchuk, Olena V. Shakirova, Sergiy O. Danilov
Publikováno v:
Journal of Advanced Research in Law and Economics. 10:2024
The relevance of the subject matter is conditioned upon the fact that nowadays, both tax law theory and the current tax legislation fail to provide a single, unified definition of the concept of ‘subject of tax relations’. Furthermore, there is n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53ffec767e9dcf1331959807aca85a09
https://doi.org/10.14505/jarle.v10.7(45).11
https://doi.org/10.14505/jarle.v10.7(45).11
A new approach to data stream clustering with the help of an ensemble of adaptive neuro-fuzzy systems is proposed. The proposed ensemble is formed with adaptive neuro-fuzzy self-organizing Kohonen maps in a parallel processing mode. Their learning pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f433500c4394983d5d4beabb99e7e3e3
http://arxiv.org/abs/1610.06490
http://arxiv.org/abs/1610.06490