
Machine Learning and Artificial Intelligence in Geosciences
Description
Key Features
- Provides high-level reviews of the latest innovations in geophysics
- Written by recognized experts in the field
- Presents an essential publication for researchers in all fields of geophysics
Readership
Table of Contents
1. Preface
2. 70 years of machine learning in geoscience in review
Jesper Sören Dramsch
3. Machine learning and fault rupture: A review
Christopher X. Ren, Claudia Hulbert, Paul A. Johnson and Bertrand Rouet-Leduc
4. Machine learning techniques for fractured media
Shriram Srinivasan
5. Seismic signal augmentation to improve generalization of deep neural networks
Weiqiang Zhu , S. Mostafa Mousavi and Gregory C. Beroza
6. Deep generator priors for Bayesian seismic inversion
Zhilong Fang, Hongjian Fang and L. Demanet
7. An introduction to the two-scale homogenization method for seismology
Yann Capdeville, Paul Cupillard and Sneha Singh
Product details
- No. of pages: 316
- Language: English
- Copyright: © Academic Press 2020
- Published: September 22, 2020
- Imprint: Academic Press
- eBook ISBN: 9780128216842
- Hardcover ISBN: 9780128216699
About the Serial Volume Editors
Benjamin Moseley
Affiliations and Expertise
Lion Krischer
Affiliations and Expertise
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