| Autor: |
Vladimir A. Serov, Evgenia L. Dolgacheva, Elizaveta Y. Kosyuk, Daria L. Popova, Pavel P. Rogalev, Anastasia V. Tararina |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Engineering Proceedings, Vol 33, Iss 1, p 57 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2673-4591 |
| DOI: |
10.3390/engproc2023033057 |
| Popis: |
The report considers the task of training a multilayer perceptron, formulated as a problem of multiobjective optimization under uncertainty. To solve this problem, the principle of vector minimax was used. A parallel software implementation of a hierarchical evolutionary algorithm for solving a multicriteria optimization problem under uncertainty based on a GPU is presented. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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