Delay probability in adaptive systems based on activation function of classical neural networks
Many improved algorithms have been proposed for nonlinear system designs. There is no single procedure for providing an algorithm with closed-form system response relations as a function of system parameters. In this paper, we illustrate a unique method for discrete-time digital nonlinear systems. P...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Egyptian Informatics Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S111086652400118X |
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| author | Maja Lutovac Banduka Vladimir Mladenović Danijela Milosević Vladimir Orlić Asutosh Kar |
| author_facet | Maja Lutovac Banduka Vladimir Mladenović Danijela Milosević Vladimir Orlić Asutosh Kar |
| author_sort | Maja Lutovac Banduka |
| collection | DOAJ |
| description | Many improved algorithms have been proposed for nonlinear system designs. There is no single procedure for providing an algorithm with closed-form system response relations as a function of system parameters. In this paper, we illustrate a unique method for discrete-time digital nonlinear systems. Provides better insight into the analyzed system, algorithm, and processes. The main contribution is closed-form symbolic responses in the time domain and modifications of the implemented algorithm. A comparison of adaptive systems and neural networks is also presented. The design and analysis of nonlinear systems are more clearly simplified for either engineers or researchers without deep mathematical knowledge. |
| format | Article |
| id | doaj-art-a4c790dcc3f8493abe1abcb07355aa09 |
| institution | OA Journals |
| issn | 1110-8665 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Informatics Journal |
| spelling | doaj-art-a4c790dcc3f8493abe1abcb07355aa092025-08-20T02:35:39ZengElsevierEgyptian Informatics Journal1110-86652024-12-012810055510.1016/j.eij.2024.100555Delay probability in adaptive systems based on activation function of classical neural networksMaja Lutovac Banduka0Vladimir Mladenović1Danijela Milosević2Vladimir Orlić3Asutosh Kar4RT-RK LLC (former Department of RT-RK Institute, Computer Based Systems), 2v Dunavska, 11158 Belgrade, SerbiaUniversity of Kragujevac, Faculty of Technical Sciences Čačak, 65 Svetog Save, Čačak 32102, SerbiaUniversity of Kragujevac, Faculty of Technical Sciences Čačak, 65 Svetog Save, Čačak 32102, SerbiaInstitute Vlatacom, 5 Milutina Milankovića Blvd., Belgrade 11070, SerbiaDepartment of Electronics and Communication Engineering, Dr BR Ambedkar National Institute of Technology Jalandhar, 144027 Punjab, IndiaMany improved algorithms have been proposed for nonlinear system designs. There is no single procedure for providing an algorithm with closed-form system response relations as a function of system parameters. In this paper, we illustrate a unique method for discrete-time digital nonlinear systems. Provides better insight into the analyzed system, algorithm, and processes. The main contribution is closed-form symbolic responses in the time domain and modifications of the implemented algorithm. A comparison of adaptive systems and neural networks is also presented. The design and analysis of nonlinear systems are more clearly simplified for either engineers or researchers without deep mathematical knowledge.http://www.sciencedirect.com/science/article/pii/S111086652400118XNonlinear systemsArtificial neural networksSymbolic processing |
| spellingShingle | Maja Lutovac Banduka Vladimir Mladenović Danijela Milosević Vladimir Orlić Asutosh Kar Delay probability in adaptive systems based on activation function of classical neural networks Egyptian Informatics Journal Nonlinear systems Artificial neural networks Symbolic processing |
| title | Delay probability in adaptive systems based on activation function of classical neural networks |
| title_full | Delay probability in adaptive systems based on activation function of classical neural networks |
| title_fullStr | Delay probability in adaptive systems based on activation function of classical neural networks |
| title_full_unstemmed | Delay probability in adaptive systems based on activation function of classical neural networks |
| title_short | Delay probability in adaptive systems based on activation function of classical neural networks |
| title_sort | delay probability in adaptive systems based on activation function of classical neural networks |
| topic | Nonlinear systems Artificial neural networks Symbolic processing |
| url | http://www.sciencedirect.com/science/article/pii/S111086652400118X |
| work_keys_str_mv | AT majalutovacbanduka delayprobabilityinadaptivesystemsbasedonactivationfunctionofclassicalneuralnetworks AT vladimirmladenovic delayprobabilityinadaptivesystemsbasedonactivationfunctionofclassicalneuralnetworks AT danijelamilosevic delayprobabilityinadaptivesystemsbasedonactivationfunctionofclassicalneuralnetworks AT vladimirorlic delayprobabilityinadaptivesystemsbasedonactivationfunctionofclassicalneuralnetworks AT asutoshkar delayprobabilityinadaptivesystemsbasedonactivationfunctionofclassicalneuralnetworks |