Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems - Yinpeng Wang,Qiang Ren
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Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
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.
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Yinpeng Wang, Qiang Ren |
|---|---|
| Julkaisija | CRC Press |
| Julkaisuvuosi | 2025 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9781032503035 |