Semantic Scholar Open Access 2019 345 sitasi

Deep learning and its application in geochemical mapping

R. Zuo Yihui Xiong Jian Wang E. Carranza

Abstrak

Abstract Machine learning algorithms have been applied widely in the fields of natural science, social science and engineering. It can be expected that machine learning approaches especially deep learning algorithms will help geoscientists to discover mineral deposits through processing of various geoscience datasets. This study reviews the state-of-the-art application of deep learning algorithms for processing geochemical exploration data and mining the geochemical patterns. Deep learning algorithms can deal with complex and nonlinear problems and, therefore, can enhance the identification of geochemical anomalies and the recognition of hidden patterns. Applied geochemistry needs more applications of machine learning and/or deep learning algorithms.

Topik & Kata Kunci

Computer Science

Penulis (4)

R. Zuo

Yihui Xiong

Jian Wang

E. Carranza

Format Sitasi

APA MLA BibTeX

Zuo, R., Xiong, Y., Wang, J., Carranza, E. (2019). Deep learning and its application in geochemical mapping. https://doi.org/10.1016/J.EARSCIREV.2019.02.023

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 345×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.EARSCIREV.2019.02.023
Akses: Open Access ✓