Buch, Englisch, Band 61, 316 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 610 g
Buch, Englisch, Band 61, 316 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 610 g
Reihe: Advances in Geophysics, Volume
ISBN: 978-0-12-821669-9
Verlag: ACADEMIC PR INC
Zielgruppe
Graduate students, scientists and engineers of geophysics, physics, acoustics, civil engineering, environmental sciences, geology and planetary sciences
Fachgebiete
Weitere Infos & Material
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