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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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.
Read Less
Add this copy of Deep Learning-Based Forward Modeling and Inversion to cart. $56.35, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by CRC Press.
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New. Trade paperback (US). Glued binding. 180 p. Contains: Unspecified, Illustrations, black & white, Halftones, black & white, Line drawings, black & white, Tables, black & white.
Add this copy of Deep Learning-Based Forward Modeling and Inversion to cart. $108.03, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2023 by CRC Press.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Print on demand Sewn binding. Cloth over boards. 180 p. Contains: Unspecified, Illustrations, black & white, Halftones, black & white, Line drawings, black & white, Tables, black & white.
