APPROXIMATION OF FLIGHT PATH LENGTH AND CONDITIONS UNMANNED AERIAL VEHICLES WITH NEURAL NETWORKS
The article considers the problems of mathematical approximation and analysis of flights on unmanned aerial vehicles with the help of neural mathematic models.
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| Format: | Article |
| Language: | Russian |
| Published: |
Moscow State Technical University of Civil Aviation
2016-11-01
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| Series: | Научный вестник МГТУ ГА |
| Subjects: | |
| Online Access: | https://avia.mstuca.ru/jour/article/view/522 |
| _version_ | 1797883125851750400 |
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| author | S. V. Korevanov |
| author_facet | S. V. Korevanov |
| author_sort | S. V. Korevanov |
| collection | DOAJ |
| description | The article considers the problems of mathematical approximation and analysis of flights on unmanned aerial vehicles with the help of neural mathematic models. |
| first_indexed | 2024-04-10T03:46:47Z |
| format | Article |
| id | doaj.art-f6701b1412814e819994441c374cd98e |
| institution | Directory Open Access Journal |
| issn | 2079-0619 2542-0119 |
| language | Russian |
| last_indexed | 2024-04-10T03:46:47Z |
| publishDate | 2016-11-01 |
| publisher | Moscow State Technical University of Civil Aviation |
| record_format | Article |
| series | Научный вестник МГТУ ГА |
| spelling | doaj.art-f6701b1412814e819994441c374cd98e2023-03-13T07:19:12ZrusMoscow State Technical University of Civil AviationНаучный вестник МГТУ ГА2079-06192542-01192016-11-01210135137522APPROXIMATION OF FLIGHT PATH LENGTH AND CONDITIONS UNMANNED AERIAL VEHICLES WITH NEURAL NETWORKSS. V. Korevanov0МГТУ ГАThe article considers the problems of mathematical approximation and analysis of flights on unmanned aerial vehicles with the help of neural mathematic models.https://avia.mstuca.ru/jour/article/view/522беспилотные летательные аппаратытраектория полетанейросетевые системы |
| spellingShingle | S. V. Korevanov APPROXIMATION OF FLIGHT PATH LENGTH AND CONDITIONS UNMANNED AERIAL VEHICLES WITH NEURAL NETWORKS Научный вестник МГТУ ГА беспилотные летательные аппараты траектория полета нейросетевые системы |
| title | APPROXIMATION OF FLIGHT PATH LENGTH AND CONDITIONS UNMANNED AERIAL VEHICLES WITH NEURAL NETWORKS |
| title_full | APPROXIMATION OF FLIGHT PATH LENGTH AND CONDITIONS UNMANNED AERIAL VEHICLES WITH NEURAL NETWORKS |
| title_fullStr | APPROXIMATION OF FLIGHT PATH LENGTH AND CONDITIONS UNMANNED AERIAL VEHICLES WITH NEURAL NETWORKS |
| title_full_unstemmed | APPROXIMATION OF FLIGHT PATH LENGTH AND CONDITIONS UNMANNED AERIAL VEHICLES WITH NEURAL NETWORKS |
| title_short | APPROXIMATION OF FLIGHT PATH LENGTH AND CONDITIONS UNMANNED AERIAL VEHICLES WITH NEURAL NETWORKS |
| title_sort | approximation of flight path length and conditions unmanned aerial vehicles with neural networks |
| topic | беспилотные летательные аппараты траектория полета нейросетевые системы |
| url | https://avia.mstuca.ru/jour/article/view/522 |
| work_keys_str_mv | AT svkorevanov approximationofflightpathlengthandconditionsunmannedaerialvehicleswithneuralnetworks |