L. (2016). Machine learning in geosciences and remote sensing. Geoscience Frontiers, Special Issue: Progress of Machine Learning in Geosciences, 7(1), 3-10. doi:10.1016/j.gsf.2015.07.003David J Lary, Amir H Alavi, Amir H Gandomi, and An- nette L Walker, "Machine learning in geosciences...
Machine learning Geosciences Remote sensing Regression Classification a b s t r a c t Learning incorporates a broad range of complex procedures. Machine learning (ML) is a subdivision of artificial intelligence based on the biological learning process. The ML approach deals with the design of...
This review gives an overview of the development of machine learning in geoscience. A thorough analysis of the co-developments of machine learning applications throughout the last 70 years relates the recent enthusiasm for machine learning to developments in geoscience. I explore the shift of kriging...
Using adjacency matrix to explore remarkable associations in big and small mineral data[J]. Geoscience Frontiers, 2024, 15(5): 101823. DOI: 10.1016/j.gsf.2024.101823 [2] Pratchaya Takaew, Jianhong Cecilia Xia, Luc S. Doucet. Machine learning and tectonic setting determination: Bridging the ...
4.4 Mining Relationships in Geoscience Data 在地球科学应用中的一个重要问题是要了解不同物理过程之间的相互关系,例如太平洋东太平洋海面温度的周期性变化(也称为埃尔南-南方涛动(ENSO))及其对若干陆地事件的影响。例如洪水,干旱和森林大火[28],[29]。从地球科学数据中识别出这种关系可以帮助我们捕获地球系统的生命迹...
Inversion of surface parameters using fast learning neural networks. In Proc. IGARSS ’92 International Geoscience and Remote Sensing Symposium Vol. 2, 910–912 (IEEE, 1992); http://ieeexplore.ieee.org/document/578294 Miller, D. M., Kaminsky, E. J. & Rana, S. Neural network classification...
Machine learning in geosciences and remote sensing •Highlight the role of machine learning for solving problems in geosciences and remote sensing.•Develope a typical nonparametric regression for the a... DJ Lary,AH Alavi,AH Gandomi,... - 《Geoscience Frontiers》 被引量: 87发表: 2016年 St...
Terrestrial analogues are places on Earth that approximate, in some respect, the geological, environmental and putative biological conditions on a particul... GR Osinski,R Leveille,A Berinstain,... - 《Geoscience Canada》 被引量: 74发表: 2006年 Europa: Perspectives on an Ocean World Europa ...
Crawford. A special issue on advances in machine learning for remote sensing and geosciences. IEEE Geoscience and Remote Sensing Magazine, 4(2):5-7, ... G Camps-Valls,J Bioucas-Dias,M Crawford - 《IEEE Geoscience & Remote Sensing Magazine》 被引量: 2发表: 2016年 from the guest editors ...
et al. Contribution ratio and distribution patterns of multiple oil sources in the Yanchang Formation of the Ordos Basin: A study utilizing machine learning and interpretability techniques | [鄂尔多斯盆地延长组多油源贡献比例与分布规律: 基于机器学习与可解释性研究]. Earth Science Frontiers, 2024, 31(...