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Machine Learning and Artificial Intelligence in Geosciences: Volume 61 on Hardback
Machine Learning and Artificial Intelligence in Geosciences: Volume 61 on Hardback
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Machine Learning and Artificial Intelligence in Geosciences

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Description

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.

Author Biography:

Ben Moseley works at the Department of Computer Science at the University of Oxford and is currently researching the use of machine learning for seismic simulation and inversion, as well as machine learning for space science. Previously he was a geophysicist in the hydrocarbon industry, with experience in seismic processing, imaging and exploration Lion Krischer works at the Department of Earth Sciences at the ETH Zurich in Switzerland. His works sits at the crossroads where seismology meets computational science, Big Data engineering, and machine learning.
Release date NZ
September 22nd, 2020
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
Contributors
  • Volume editor Benjamin Moseley
  • Volume editor Lion Krischer
Pages
316
ISBN-13
9780128216699
Product ID
33190367

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