Prediction of Flight Status of Logistics UAVs Based on an Information Entropy Radial Basis Function Neural Network

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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Bibliographic Details
Main Authors: Qin Yang, Zhaofa Ye, Xuzheng Li, Daozhu Wei, Shunhua Chen, Zhirui Li
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
internet of things
logistics drones
RBF neural network
information entropy
nonlinear system
Online Access:https://www.mdpi.com/1424-8220/21/11/3651

Internet

https://www.mdpi.com/1424-8220/21/11/3651

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