Applications of deep convolutional neural networks in prospecting prediction based on two-dimensional geological big data-Reference-Cited by-同舟云学术

Applications of deep convolutional neural networks in prospecting prediction based on two-dimensional geological big data

Published:2019-07-11 Issue:7 Volume:32 Page:2037-2053
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Li Shi,Chen Jianping^ORCID,Xiang Jie

Funder

Chinese MOST project “Methods and Models for Quantitative Prediction of Deep Metallogenic Geological Anomalies”

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-019-04341-3.pdf

Reference42 articles.

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3. Chen JP, Li J, Cui N et al (2015) The construction and application of geological cloud under the big data background. Geol Bull China 34(7):1260–1265

4. Yu PP, Chen JP, Chai FS et al (2015) Research on model-driven quantitative prediction and evaluation of mineral resources based on geological big data concept. Geol Bull China 34(7):1333–1343

5. Zheng X, Li JC, Wang X et al (2015) Construction of the national geological information service system in the age of big data. Geol Bull China 34(7):1316–1322

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