Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy.

Jin, Xue-Bo; Yu, Xing-Hong; Su, Ting-Li; Yang, Dan-Ni; Bai, Yu-Ting; Kong, Jian-Lei; Wang, Li

Jin, Xue-Bo; Yu, Xing-Hong; Su, Ting-Li; Yang, Dan-Ni; Bai, Yu-Ting; Kong, Jian-Lei; Wang, Li.

Afiliação

Jin XB; Artificial Intelligence College, Beijing Technology and Business University, Beijing 10048, China.
Yu XH; China Light Industry Key Laboratory of Industrial Internet and Big Data Beijing Technology and Business University, Beijing 10048, China.
Su TL; Artificial Intelligence College, Beijing Technology and Business University, Beijing 10048, China.
Yang DN; China Light Industry Key Laboratory of Industrial Internet and Big Data Beijing Technology and Business University, Beijing 10048, China.
Bai YT; Artificial Intelligence College, Beijing Technology and Business University, Beijing 10048, China.
Kong JL; China Light Industry Key Laboratory of Industrial Internet and Big Data Beijing Technology and Business University, Beijing 10048, China.
Wang L; Electrical and Information Engineering College, Tianjin University, Tianjin 300072, China.

Entropy (Basel) ; 23(2)2021 Feb 11.

Article em En | MEDLINE | ID: mdl-33670098

Palavras-chave

Bayesian LSTM; big measurement data; deep fusion predictor; meteorological data; multi-sensor system; series causality analysis

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

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