Tell your friends about this item:
Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems Yinpeng Wang
Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems
Yinpeng Wang
This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems.
200 pages, 14 Tables, black and white; 83 Line drawings, black and white; 54 Halftones, black and wh
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | July 6, 2023 |
| ISBN13 | 9781032502984 |
| Publishers | Taylor & Francis Ltd |
| Pages | 180 |
| Dimensions | 241 × 162 × 17 mm · 452 g |
| Language | English |
See all of Yinpeng Wang ( e.g. Hardcover Book and Paperback Book )