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Prediction of Flight Status of Logistics UAVs Based on an Information Entropy Radial Basis Function Neural Network
Aiming at addressing the problems of short battery life, low payload and unmeasured load ratio of logistics Unmanned Aerial Vehicles (UAVs), the Radial Basis Function (RBF) neural network was trained with the flight data of logistics UAV from the Internet of Things to predict the flight status of lo...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8197341/ https://ncbi.nlm.nih.gov/pubmed/34073923 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21113651 |
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