Recognition of Geothermal Surface Manifestations: A Comparison of Machine Learning and Deep Learning

Recognition of Geothermal Surface Manifestations: A Comparison of Machine Learning and Deep Learning

Geothermal surface manifestations (GSMs) are direct clues towards hydrothermal activities of a geothermal system in the subsurface and significant indications for geothermal resource exploration. It is essential to recognize various GSMs for potential geothermal energy exploration. However, there is...

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Bibliographic Details
Main Authors: Yongzhu Xiong, Mingyong Zhu, Yongyi Li, Kekun Huang, Yankui Chen, Jingqing Liao
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Energies
Subjects:
geothermal manifestation
geothermal energy
Deep Learning (DL)
Support Vector Machine (SVM)
Decision Tree (DT)
K-Nearest Neighbor (KNN)
Online Access:https://www.mdpi.com/1996-1073/15/8/2913

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