Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Janusz Kolbusz"'
Publikováno v:
KES
The paper presents the results of research on improving the security of medical information systems. It begins with a presentation of the specific features of such systems in terms of functionality and potential risks. It was assumed that the feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4286abbcc0ff15b2e4d1666e38db6a6a
https://doi.org/10.1016/j.procs.2020.09.018
https://doi.org/10.1016/j.procs.2020.09.018
Autor:
Janusz Kolbusz, Grzegorz Krzos
Publikováno v:
Nierówności społeczne a wzrost gospodarczy. 58:252-261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77799618df43d42e70de1443af15f66b
https://doi.org/10.15584/nsawg.2019.2.20
https://doi.org/10.15584/nsawg.2019.2.20
Publikováno v:
KES
Procedia Computer Science
Procedia Computer Science
Infectious diseases accompanied mankind throughout its existence. However, in the 20th century, with the implementation od mass vaccination, this problem was partially forgotten. It reappeared at the end of the 2019 with the COVID-19 pandemic. The di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c8d868cc7dcd9b27e6c60eeebeadcd3
https://ruj.uj.edu.pl/xmlui/handle/item/284473
https://ruj.uj.edu.pl/xmlui/handle/item/284473
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779696
ICCS (4)
ICCS (4)
The paper presents the architecture and organization of a reconfigurable inter-node communication system based on hierarchical embedding and logical multi-buses. The communication environment is a physical network with a bus topology or its derivativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a74e11ea82b0d57eb02ed4302d402324
https://doi.org/10.1007/978-3-030-77970-2_41
https://doi.org/10.1007/978-3-030-77970-2_41
Autor:
Roman Peleshchak, Pawel Rozycki, Mariusz Wrzesien, Ivan Peleshchak, Vasyl Lytvyn, Janusz Kolbusz, Jan Kopka, Janusz Korniak
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030511852
This paper shows a new type of artificial neural network with dynamic (oscillatory) neurons that have natural frequencies. Artificial neural network in the mode of information resonance implements a new method of recognition of multispectral images.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a5f4f862924a237cd326746724fa0bf
https://doi.org/10.1007/978-3-030-51186-9_22
https://doi.org/10.1007/978-3-030-51186-9_22
Publikováno v:
HSI
Deep neural networks are able to solve much more complex and nonlinear problems than very popular but shallow technologies such as ELM, SVR or SLP. Despite of their power deep neural networks are difficult to apply due to problems with effective and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dba44165bd6f01a02c0c00d091777d85
https://doi.org/10.1109/hsi47298.2019.8942622
https://doi.org/10.1109/hsi47298.2019.8942622
Publikováno v:
HSI
National Information Processing Institute
National Information Processing Institute
RBF networks seem to be an interesting and efficient alternative for traditional sigmoid-based neural networks. More sophisticated activation function makes a network more powerful but requires developing of new training methods. The paper presents a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aee38baa385c3ffb67f77a7333e5968
https://doi.org/10.1109/hsi47298.2019.8942614
https://doi.org/10.1109/hsi47298.2019.8942614
Publikováno v:
2019 International Conference on Information and Digital Technologies (IDT).
Error Back Propagation algorithm is one of the most popular method for training artificial neural networks. Unfortunately, this is also one of the slowest due to constant and small learning rate parameter used to update weights of neurons. There are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3201c0e0cb6d6824c369d10a1e999e8b
https://doi.org/10.1109/dt.2019.8813440
https://doi.org/10.1109/dt.2019.8813440
Publikováno v:
2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES).
The paper presents a new method for improvement of the Error Back Propagation, one of the most popular algorithms for training artificial neural networks, that is based on the estimation of the learning rate by the approximation of the error of the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b001ea5229c7a5a7c2be5e8fcb02fc28
https://doi.org/10.1109/ines46365.2019.9109445
https://doi.org/10.1109/ines46365.2019.9109445
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030209117
ICAISC (1)
National Information Processing Institute
ICAISC (1)
National Information Processing Institute
The Fully Connected Cascade Networks (FCCN) were originally proposed along with the Cascade Correlation (CasCor) learning algorithm that having three main advantages over the Multilayer Perceptron (MLP): the structure of the network could be determin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b607509532227029d5ebc052e7e44dca
https://doi.org/10.1007/978-3-030-20912-4_23
https://doi.org/10.1007/978-3-030-20912-4_23