Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics 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.
Get Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems by Qiang Ren, Yinpeng Wang at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has 180 pages.
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