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Title Machine learning in geosciences / edited by Ben Moseley, Lion Krischer.

Publication Info. Amsterdam, The Netherlands : Elsevier Academic Press, 2020.
©2020

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Edition First edition.
Description 1 online resource (x, 306 pages) : illustrations (some colour)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Advances in geophysics, 0065-2687 ; volume 61
Advances in geophysics ; v. 61.
Bibliography Includes bibliographical references.
Summary "Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more."--Publisher's web page, viewed October 12, 2020
Note Online resource; title from publisher's web page (ScienceDirect, viewed October 12, 2020)
Subject Machine learning.
Geophysics.
Apprentissage automatique.
Géophysique.
geophysics.
Geophysics
Machine learning
Added Author Moseley, Ben, editor.
Krischer, Lion, editor.
Other Form: Print version: Machine learning in geosciences. First edition. Elsevier Academic Press, 2020 9780128216699
ISBN 9780128216842 (eBook)
0128216840
9780128216699 (hardcover)
Standard No. AU@ 000068127006

 
    
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