Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems（Yinpeng Wang Qiang Ren）（CRC Press 2024）

  • 书名：Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems
  • 出版社：CRC Press
  • 作者：Yinpeng Wang, Qiang Ren
  • 出版年份：2024
  • 电子书格式： pdf
  • 简介：Dive into the cutting-edge intersection of deep learning and computational physics with “Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems.” Authors Yinpeng Wang and Qiang Ren provide a comprehensive guide to applying advanced deep learning methods to solve complex physics problems. This book explores forward modeling and inversion techniques, offering practical examples and in-depth explanations. Ideal for researchers, students, and professionals in physics, engineering, and computer science seeking to leverage the power of deep learning for tackling challenging computational physics tasks. Gain insights into neural networks, optimization algorithms, and their applications in various physics domains. Enhance your understanding and skills in this rapidly evolving field.
  • ISBN：9781032502984, 97810
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