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

It is significant to identify rock-mineral microscopic images in geological engineering. The task of microscopic mineral image identification, which is often conducted in the lab, is tedious and time-consuming. Deep learning and convolutional neural networks (CNNs) provide a method to analyze minera...

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Detalles Bibliográficos
Autores principales: Zhang, Ye, Li, Mingchao, Han, Shuai, Ren, Qiubing, Shi, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767609/
https://www.ncbi.nlm.nih.gov/pubmed/31514321
http://dx.doi.org/10.3390/s19183914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767609/
https://www.ncbi.nlm.nih.gov/pubmed/31514321
http://dx.doi.org/10.3390/s19183914

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