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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Bibliographic Details
Published in:	IEEE transactions on geoscience and remote sensing Vol. 63; pp. 1 - 13
Main Authors:	Wu, Xinyu, Zhang, Yingying, Xie, Bin, Wu, Wenyu
Format:	Journal Article
Language:	English
Published:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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