| dc.contributor.author | Maniakov, Nikolaj | |
| dc.contributor.author | Makhnist, Leonid | |
| dc.contributor.author | Rubanov, Vladimir | |
| dc.coverage.spatial | Minsk | ru_RU |
| dc.date.accessioned | 2023-11-16T13:43:09Z | |
| dc.date.available | 2023-11-16T13:43:09Z | |
| dc.date.issued | 2003 | |
| dc.identifier.citation | Maniakov, N. Some Methods of Adaptive Multilayer Neural Network Training / Nikolaj Maniakov, Leonid Makhnist, Vladimir Rubanov // The 3nd International Conference on Neural Networks and Artificial Intelligence = Нейронные сети и искусственный интеллект : proceedings, Minsk, November 12–14, 2003 / Belarusian State University of Informatics and Radioelectronicsb ; ed.: Rauf Kh. Sadykhov [et al.]. – Minsk, 2003. – P. 109–115 : il. – Bibliogr.: p. 115 (2 titles). | ru_RU |
| dc.identifier.uri | https://rep.bstu.by/handle/data/37117 | |
| dc.description | Николай Владимирович Маняков, Леонид Петрович Махнист, Владимир Степанович Рубанов. Некоторые методы обучения адаптивной многослойной нейронной сети | ru_RU |
| dc.description.abstract | Is proposed two new techniques for multilayer neural networks training. Its basic concept is based on the gradient descent method. For every methodic are showed formulas for calculation of the adaptive training steps. Matrix algorithmizations for all of these techniques are very helpful in its program realization. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | BSUIR | ru_RU |
| dc.subject | multilayer neural networks | ru_RU |
| dc.subject | многослойные нейронные сети | ru_RU |
| dc.subject | gradient descent method | ru_RU |
| dc.subject | метод градиентного спуска | ru_RU |
| dc.subject | adaptive training step | ru_RU |
| dc.subject | этап адаптивного обучения | ru_RU |
| dc.title | Some Methods of Adaptive Multilayer Neural Network Training | ru_RU |
| dc.title.alternative | Некоторые методы обучения адаптивной многослойной нейронной сети | ru_RU |
| dc.type | Статья (Article) | ru_RU |
