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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Detalles Bibliográficos
Autores principales: Yang, Qin, Ye, Zhaofa, Li, Xuzheng, Wei, Daozhu, Chen, Shunhua, Li, Zhirui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197341/
https://www.ncbi.nlm.nih.gov/pubmed/34073923
http://dx.doi.org/10.3390/s21113651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197341/
https://www.ncbi.nlm.nih.gov/pubmed/34073923
http://dx.doi.org/10.3390/s21113651

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