Intelligent Identification for Rock-Mineral Microscopic Images Using Ensemble Machine Learning Algorithms.

Zhang, Ye; Li, Mingchao; Han, Shuai; Ren, Qiubing; Shi, Jonathan

Zhang, Ye; Li, Mingchao; Han, Shuai; Ren, Qiubing; Shi, Jonathan.

Afiliação

Zhang Y; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China. jgzhangye@tju.edu.cn.
Li M; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China. LMC@tju.edu.cn.
Han S; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China. hs2015205039@tju.edu.cn.
Ren Q; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China. qbren@tju.edu.cn.
Shi J; College of Engineering, Louisiana State University, Baton Rouge, LA 70803, USA. jshi@lsu.edu.

Sensors (Basel) ; 19(18)2019 Sep 11.

Article em En | MEDLINE | ID: mdl-31514321

Palavras-chave

CNN; deep learning; machine learning; model stacking; rock-mineral microscopic images; transfer learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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