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

Yang, Qin; Ye, Zhaofa; Li, Xuzheng; Wei, Daozhu; Chen, Shunhua; Li, Zhirui

Yang, Qin; Ye, Zhaofa; Li, Xuzheng; Wei, Daozhu; Chen, Shunhua; Li, Zhirui.

Afiliação

Yang Q; School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Ye Z; School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Li X; School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Wei D; School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Chen S; School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Li Z; School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.

Sensors (Basel) ; 21(11)2021 May 24.

Article em En | MEDLINE | ID: mdl-34073923

Palavras-chave

RBF neural network; information entropy; internet of things; logistics drones; nonlinear system

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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