Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems - Yinpeng Wang,Qiang Ren
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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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Aprašymas
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.
Vairāk informācijas
| Autors | Yinpeng Wang, Qiang Ren |
|---|---|
| Izdevējs | CRC Press |
| Izlaides gads | 2025 |
| Vāka tips | Mīkstais vāks |
| EAN | 9781032503035 |