Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems, Hardback - Qiang Ren

Detalii:

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.Publisher: Taylor & Francis LtdAuthor(s): Qiang RenIllustration(s): 14 Tables, black and white; 83 Line drawings, black and white; 54 Halftones, black and white; 137 Illustrations, black and whiteNumber of pages: 180Publication date: 2023Dimensions: 162 x 241 x 17Cover type: Hardback

Preț:

613.99 ^RON

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Alte detalii:

Vânzător: Elefant.ro
Brand: Taylor & Francis Ltd