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

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

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

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CN¥459.00

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CN¥459.00

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CN¥549.00
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描述

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.
  • 品牌: Unbranded
  • 类别: 计算机与互联网
  • 语言: English
  • 作者: Deep Learning Based Forward Modeling and Inversion Techniques for Computational Physics Problems
  • 出版日期: 2025-01-31
  • 页数: 180
  • 出版社／标签: Taylor & Francis Ltd
  • 格式: Paperback
  • Fruugo ID: 488902821-1011420415
  • ISBN: 9781032503035

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