Machine learning and artificial intelligence in geosciences. (2020)

• Record Type: Book
• Further Information: Note: Edited by Benjamin Moseley, Lion Krischer.
• Editors: Moseley, Benjamin; Krischer, Lion
• Contents: Preface 70 years of machine learning in geoscience in review Jesper Sören Dramsch Machine learning and fault rupture: A review Christopher X. Ren, Claudia Hulbert, Paul A. Johnson and Bertrand Rouet-Leduc Machine learning techniques for fractured media Shriram Srinivasan Seismic signal augmentation to improve generalization of deep neural networks Weiqiang Zhu, S. Mostafa Mousavi and Gregory C. Beroza Deep generator priors for Bayesian seismic inversion Zhilong Fang, Hongjian Fang and L. Demanet An introduction to the two-scale homogenization method for seismology Yann Capdeville, Paul Cupillard and Sneha Singh
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 550.28563; Earth sciences -- Data processing; Geophysics -- Data processing; Machine learning; Artificial intelligence
• Languages: English
• ISBNs: 9780128216842
• Related ISBNs: 9780128216699
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.