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Hoofdkenmerken

Auteur:	Wang, Yinpeng; Ren, Qiang
Titel:	Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems
Uitgever:	Taylor & Francis Ltd
ISBN:	9781032503035
ISBN boekversie:	9781000896671
Land van oorsprong:	United Kingdom
Prijs:	€ 56,98
Verschijningsdatum:	30-01-2025
Bericht:	Langere levertijd (2-3 weken)

Inhoudelijke kenmerken

Categorie:	Computer science
Geillustreerd:	14 Tables, black and white; 83 Line drawings, black and white; 54 Halftones, black and white; 137 Illustrations, black and white

Technische kenmerken

Verschijningsvorm:	Paperback / softback
Paginas:	180
Hoogte mm.:	234
Breedte mm.:	156
Gewicht gr.:	358

 

Inhoud:

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.