Leucogranite mapping via convolutional recurrent neural networks and geochemical survey data in the Himalayan orogen-Reference-Cited by-同舟云学术

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Leucogranite mapping via convolutional recurrent neural networks and geochemical survey data in the Himalayan orogen

Published:2024-01 Issue:1 Volume:15 Page:101715
ISSN:1674-9871
Container-title:Geoscience Frontiers
language:en
Short-container-title:Geoscience Frontiers

Author:

Wang Ziye^ORCID,Li Tong,Zuo Renguang

Funder

Natural Science Foundation of Hubei Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences

Reference82 articles.

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2. Ensemble methods: bagging and random forests;Altman;Nat. Methods,2017

3. Advances in machine learning modeling reviewing hybrid and ensemble methods;Ardabili,2019

4. Random forests;Breiman;Mach. Learn.,2001

5. Multi-Dimension CNN for Hyperspectral Image Classification;Cai,2020

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1. Geologically constrained unsupervised dual-branch deep learning algorithm for geochemical anomalies identification;Applied Geochemistry;2024-11

2. An Attention-Based LSTM Lithological Classification Using Multisensor Datasets;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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