Bestellen Terug

Hoofdkenmerken

Auteur:	Wang, Yinpeng; Ren, Qiang
Titel:	Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems
Uitgever:	Taylor & Francis Ltd
ISBN:	9781032502984
Land van oorsprong:	United Kingdom
Prijs:	€ 126.64
Verschijningsdatum:	06-07-2023
Bericht:	Leverbaar

Inhoudelijke kenmerken

Categorie:	Machine learning
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:	Hardback
Paginas:	180
Hoogte mm.:	162
Breedte mm.:	241
Dikte mm.:	17
Gewicht gr.:	452

 

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.