| DC Field | Value | Language |
|---|
| dc.contributor.author | Mukha, V. S. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2025-01-10T08:13:27Z | - |
| dc.date.available | 2025-01-10T08:13:27Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | Mukha, V. S. Algorithm of the multilayer artificial feed-forward neural network learning / V. S. Mukha // Информационные технологии и системы 2024 (ИТС 2024) = Information Technologies and Systems 2024 (ITS 2024) : материалы международной научной конференции, Минск, 20 ноября 2024 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск, 2024. – С. 198–199. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/58646 | - |
| dc.description.abstract | The algorithm of the multilayer feed-forward neural network learning is developed. The algorithm is realized the
error back-propagation idea. The particularity of the algorithm is its multidimensional-matrix form, which provides
its theoretical and algorithmic generality. The program realization of the algorithm is performed as the function of
the Matlab programming language. In spite of the multidimensional-matrix form of the algorithm, this function is
defined fully by the usual matrices. The validity of the algorithm is confirmed by the computer simulation on the
instances of the different approximation problems including the problem of the pattern recognition. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | neural networks | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | MatLab | en_US |
| dc.title | Algorithm of the multilayer artificial feed-forward neural network learning | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | ИТС 2024
|
