Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ivan Scepanovic"'
Publikováno v:
IET Communications, Vol 17, Iss 11, Pp 1255-1261 (2023)
Abstract The need for fast communication has led to the introduction of 100 Gbps optics in local area networks (LANs). To avoid retransmission of corrupted packets, in some LANs, the CRC codes were replaced by Reed‐Solomon (RS) codes. Although this
Externí odkaz:
https://doaj.org/article/6c55b62f1f85489db99e5f74a40c33d0
Autor:
Ivan Scepanovic, Konstantin Nikolic
Publikováno v:
11th Symposium on Neural Network Applications in Electrical Engineering.
The paper tries to propose objectively existing hierarchy of control levels in Central Nervous System(CNS), based on already accomplished medical research results on Homo sapiens, i. e. Homo sapiens - sapiens CNS as well as the theory of control and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a48da07ec5ad5c42c422eb478363547
https://doi.org/10.1109/neurel.2012.6420010
https://doi.org/10.1109/neurel.2012.6420010
Publikováno v:
Annals of the Oradea University: Fascicle Management and Technological Engineering, Vol XX (X) (2011)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3679b4c6dc7704da260dbdb6c2c88a80
https://doi.org/10.15660/auofmte.2011-3.2381
https://doi.org/10.15660/auofmte.2011-3.2381
Publikováno v:
Annals of the Oradea University: Fascicle Management and Technological Engineering, Vol XX (X) (2011)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7edf5b44a2f02c70fe9f57debea12bc5
https://doi.org/10.15660/auofmte.2011-1.2208
https://doi.org/10.15660/auofmte.2011-1.2208
Publikováno v:
ANNALS OF THE ORADEA UNIVERSITY. Fascicle of Management and Technological Engineering..
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb7a16722638f8cb564daad33c91c95b
https://doi.org/10.15660/auofmte.2011-2.2316
https://doi.org/10.15660/auofmte.2011-2.2316
Publikováno v:
2006 8th Seminar on Neural Network Applications in Electrical Engineering.
This paper presents an approach to optimization of recurrent artificial neural networks (RNN) that leans on the appliance of stochastic search (SS). Favor algorithm SS with information accumulation (SSAI) is simple in numerical sense, and does not re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27c7121dbb93657171c2eb755618ad14
https://doi.org/10.1109/neurel.2006.341180
https://doi.org/10.1109/neurel.2006.341180