Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems
Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems examines the application of deep learning to forward modeling and inversion in computational physics. Written by Yinpeng Wang and Qiang Ren, it provides a focused resource for readers interested in computational methods, mathematical modeling, and machine learning.
About This Book
Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems explores the use of deep learning in computational physics.
The book focuses on forward modeling and inversion techniques, two central approaches identified in its title.
It is authored by Yinpeng Wang and Qiang Ren.
This title may interest readers studying the relationship between machine learning methods and computational physics problems.
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