Transient Electromagnetic Inversion Based on Improved Supervised Descent Method

Supervised descent method (SDM) is a machine learning method mainly used to solve the least squares problem, which is divided into a training phase and a prediction phase. The original SDM transient electromagnetic method (TEM) inversion is difficult to balance the speed and accuracy in the training...

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Vydáno v:	IEEE transactions on geoscience and remote sensing Ročník 63; s. 1 - 13
Hlavní autoři:	Wu, Xinyu, Zhang, Yingying, Xie, Bin, Wu, Wenyu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Adaptive descent Algorithms Anomalies Conductivity Drilling Electromagnetics Geoelectricity Geological structures inversion termination conditions Iterative methods Least squares method Linear programming Machine learning Mathematical models Matrix decomposition Prediction algorithms relaxation coefficient Stability Stratigraphy supervised descent method (SDM) Training Transient analysis transient electromagnetic 1-D inversion
ISSN:	0196-2892, 1558-0644
On-line přístup:	Získat plný text
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