Szczegóły publikacji
Opis bibliograficzny
Application of machine learning in analysis of oscillators vibrations forced by random series of impulses / A. OZGA, G. Litak, P. Wolszczak, M. SULEWSKI // W: ICOSSAR 2021-2022 [Dokument elektroniczny] : 13th International Conference on Structural Safety and Reliability : September 13-17, 2022, Shanghai, P. R. China. — Wersja do Windows. — Dane tekstowe. — Shanghai : Shanghai Scientific & Technical Publishers, 2022. — Dysk Flash. — e-ISBN: 978-7-5478-6230-8. — S. 859–865. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 864–865, Abstr. — Abstr. dostępny w: ISBN: 978-7-5478-5837-0. --- S. 133
Autorzy (4)
- AGHOzga Agnieszka
- Litak Grzegorz
- Wolszczak Piotr
- AGHSulewski Marek
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 153793 |
|---|---|
| Data dodania do BaDAP | 2024-06-20 |
| Rok publikacji | 2022 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
Abstract
The study presented was inspired by an attempt to construct a measuring device that would be able to detect a sequence of both large and small dust particles hitting a sensor in the transported dust stream. The previous studies conducted hitherto show that the use of the model is limited. Determining of distribution with an acceptable uncertainty can be performed only with the help of several oscillators and distributions and distributions of no more than five different the values of amplitude. With this article we begin research on the application of machine learning algorithms to solve the problem of recognizing the distribution of impulses. We present preliminary research.
