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Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

Om Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

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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  • Språk:
  • Engelsk
  • ISBN:
  • 9781032502984
  • Bindende:
  • Hardback
  • Sider:
  • 180
  • Utgitt:
  • 6. juli 2023
  • Dimensjoner:
  • 241x162x17 mm.
  • Vekt:
  • 452 g.
  På lager
Leveringstid: 4-8 virkedager
Forventet levering: 15. mai 2026

Beskrivelse av Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

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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