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.

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