FDNet: Knowledge and Data Fusion-Driven Deep Neural Network for Coal Burst Prediction.

Cao, Anye; Liu, Yaoqi; Yang, Xu; Li, Sen; Liu, Yapeng

Cao, Anye; Liu, Yaoqi; Yang, Xu; Li, Sen; Liu, Yapeng.

Afiliación

Cao A; School of Mines, China University of Mining and Technology, Xuzhou 221116, China.
Liu Y; Jiangsu Engineering Laboratory of Mine Earthquake Monitoring and Prevention, China University of Mining and Technology, Xuzhou 221116, China.
Yang X; Xuzhou Wushuo Information Co., Ltd., Xuzhou 221116, China.
Li S; School of Mines, China University of Mining and Technology, Xuzhou 221116, China.
Liu Y; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.

Sensors (Basel) ; 22(8)2022 Apr 18.

Article en En | MEDLINE | ID: mdl-35459073

Asunto(s)

Carbón Mineral; Redes Neurales de la Computación

Palabras clave

coal burst; coal mine safety; deep neural network; fusion-driven

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Carbón Mineral Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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