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[HTML][HTML] Ensemble learning models with a Bayesian optimization algorithm for mineral prospectivity map**
J Yin, N Li - Ore geology reviews, 2022 - Elsevier
Abstract Machine learning algorithms have been widely applied in mineral prospectivity
map** (MPM). In this study, we implemented ensemble learning of extreme gradient …
map** (MPM). In this study, we implemented ensemble learning of extreme gradient …
Stacking: A novel data-driven ensemble machine learning strategy for prediction and map** of Pb-Zn prospectivity in Varcheh district, west Iran
Various ensemble machine learning techniques have been widely studied and implemented
to construct the predictive models in different sciences, including bagging, boosting, and …
to construct the predictive models in different sciences, including bagging, boosting, and …
Graph deep learning model for map** mineral prospectivity
Mineral prospectivity map** (MPM) aims to reduce the areas for searching of mineral
deposits. Various statistical models that have been successfully adopted to delineate …
deposits. Various statistical models that have been successfully adopted to delineate …
Random-drop data augmentation of deep convolutional neural network for mineral prospectivity map**
T Li, R Zuo, Y **: A review
R Zuo - Natural Resources Research, 2020 - Springer
This paper introduces the concept of geodata science-based mineral prospectivity map**
(GSMPM), which is based on analyzing the spatial associations between geological …
(GSMPM), which is based on analyzing the spatial associations between geological …
A convolutional neural network of GoogLeNet applied in mineral prospectivity prediction based on multi-source geoinformation
N Yang, Z Zhang, J Yang, Z Hong, J Shi - Natural Resources Research, 2021 - Springer
The traditional convolutional neural networks applied in mineral prospectivity map**
usually extract features from only one scale at each iteration, resulting in plain features. To …
usually extract features from only one scale at each iteration, resulting in plain features. To …
[HTML][HTML] Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and …
Fusion and analysis of thematic information layers using machine learning algorithms
provide an important step toward achieving accurate mineral potential maps in the …
provide an important step toward achieving accurate mineral potential maps in the …
[HTML][HTML] Mineral prospectivity map** using attention-based convolutional neural network
Q Li, G Chen, L Luo - Ore Geology Reviews, 2023 - Elsevier
Data-driven mineral prospectivity map** (MPM) based on deep learning methods has
become a powerful tool for mineral exploration targeting in the past years. Convolutional …
become a powerful tool for mineral exploration targeting in the past years. Convolutional …