Progressive optimization methods for applied in computer network
Standard core of communications’ networks is represent by active elements, which carries out the processing of transmitted data units. Based on the results of the processing the data are transmitted from sender to recipient. The hardest challenge of the active elements present to determine what the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Mendel University Press
2009-01-01
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| Series: | Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis |
| Subjects: | |
| Online Access: | https://acta.mendelu.cz/57/6/0045/ |
| _version_ | 1818959357430202368 |
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| author | Miroslav Cepl Jiří Šťastný |
| author_facet | Miroslav Cepl Jiří Šťastný |
| author_sort | Miroslav Cepl |
| collection | DOAJ |
| description | Standard core of communications’ networks is represent by active elements, which carries out the processing of transmitted data units. Based on the results of the processing the data are transmitted from sender to recipient. The hardest challenge of the active elements present to determine what the data processing unit and what time of the system to match the processing priority assigned to individual data units. Based on the analysis of the architecture and function of active network components and algorithms, artificial neural networks can be assumed to be effectively useable to manage network elements. This article focuses on the design and use of the selected type of artificial neural network (Hopfield neural network) for the optimal management of network switch. |
| first_indexed | 2024-12-20T11:40:21Z |
| format | Article |
| id | doaj.art-e73b97e05a6a4780bc186b1ccfce89e0 |
| institution | Directory Open Access Journal |
| issn | 1211-8516 2464-8310 |
| language | English |
| last_indexed | 2024-12-20T11:40:21Z |
| publishDate | 2009-01-01 |
| publisher | Mendel University Press |
| record_format | Article |
| series | Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis |
| spelling | doaj.art-e73b97e05a6a4780bc186b1ccfce89e02022-12-21T19:42:00ZengMendel University PressActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis1211-85162464-83102009-01-01576455010.11118/actaun200957060045Progressive optimization methods for applied in computer networkMiroslav Cepl0Jiří Šťastný1Ústav informatiky, Mendelova zemědělská a lesnická univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republikaÚstav informatiky, Mendelova zemědělská a lesnická univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republikaStandard core of communications’ networks is represent by active elements, which carries out the processing of transmitted data units. Based on the results of the processing the data are transmitted from sender to recipient. The hardest challenge of the active elements present to determine what the data processing unit and what time of the system to match the processing priority assigned to individual data units. Based on the analysis of the architecture and function of active network components and algorithms, artificial neural networks can be assumed to be effectively useable to manage network elements. This article focuses on the design and use of the selected type of artificial neural network (Hopfield neural network) for the optimal management of network switch.https://acta.mendelu.cz/57/6/0045/active network elementswitchalgorithmHopfield neural networkoptimize |
| spellingShingle | Miroslav Cepl Jiří Šťastný Progressive optimization methods for applied in computer network Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis active network element switch algorithm Hopfield neural network optimize |
| title | Progressive optimization methods for applied in computer network |
| title_full | Progressive optimization methods for applied in computer network |
| title_fullStr | Progressive optimization methods for applied in computer network |
| title_full_unstemmed | Progressive optimization methods for applied in computer network |
| title_short | Progressive optimization methods for applied in computer network |
| title_sort | progressive optimization methods for applied in computer network |
| topic | active network element switch algorithm Hopfield neural network optimize |
| url | https://acta.mendelu.cz/57/6/0045/ |
| work_keys_str_mv | AT miroslavcepl progressiveoptimizationmethodsforappliedincomputernetwork AT jiristastny progressiveoptimizationmethodsforappliedincomputernetwork |