Application of Sample-Compressed Neural Network and Adaptive-Clustering Algorithm for Magnetotelluric Inverse Modeling
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DOI: 10.1109/lgrs.2020.3005796
Abstract: In this letter, two machine learning algorithms are improved, including a sample-compressed neural network algorithm for magnetotelluric (MT) inversion and an adaptive-clustering analysis algorithm for boundary demarcation. MT is widely used in deep geological structure… read more here.
Keywords: algorithm; sample compressed; algorithm magnetotelluric; compressed neural ... See more keywords