0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R2,500 - R5,000 (2)
  • -
Status
Brand

Showing 1 - 2 of 2 matches in All Departments

Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning (Paperback, 1st ed. 2022): Qiang Ren, Yinpeng Wang,... Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning (Paperback, 1st ed. 2022)
Qiang Ren, Yinpeng Wang, Yongzhong Li, Shutong Qi
R3,674 Discovery Miles 36 740 Ships in 10 - 15 working days

This book investigates in detail the deep learning (DL) techniques in electromagnetic (EM) near-field scattering problems, assessing its potential to replace traditional numerical solvers in real-time forecast scenarios. Studies on EM scattering problems have attracted researchers in various fields, such as antenna design, geophysical exploration and remote sensing. Pursuing a holistic perspective, the book introduces the whole workflow in utilizing the DL framework to solve the scattering problems. To achieve precise approximation, medium-scale data sets are sufficient in training the proposed model. As a result, the fully trained framework can realize three orders of magnitude faster than the conventional FDFD solver. It is worth noting that the 2D and 3D scatterers in the scheme can be either lossless medium or metal, allowing the model to be more applicable. This book is intended for graduate students who are interested in deep learning with computational electromagnetics, professional practitioners working on EM scattering, or other corresponding researchers.

Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning (Hardcover, 1st ed. 2022): Qiang Ren, Yinpeng Wang,... Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning (Hardcover, 1st ed. 2022)
Qiang Ren, Yinpeng Wang, Yongzhong Li, Shutong Qi
R3,707 Discovery Miles 37 070 Ships in 10 - 15 working days

This book investigates in detail the deep learning (DL) techniques in electromagnetic (EM) near-field scattering problems, assessing its potential to replace traditional numerical solvers in real-time forecast scenarios. Studies on EM scattering problems have attracted researchers in various fields, such as antenna design, geophysical exploration and remote sensing. Pursuing a holistic perspective, the book introduces the whole workflow in utilizing the DL framework to solve the scattering problems. To achieve precise approximation, medium-scale data sets are sufficient in training the proposed model. As a result, the fully trained framework can realize three orders of magnitude faster than the conventional FDFD solver. It is worth noting that the 2D and 3D scatterers in the scheme can be either lossless medium or metal, allowing the model to be more applicable. This book is intended for graduate students who are interested in deep learning with computational electromagnetics, professional practitioners working on EM scattering, or other corresponding researchers.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Playseat Evolution Racing Chair (Black)
 (3)
R8,999 Discovery Miles 89 990
HP 250 G9 15.6" Celeron Notebook…
R5,999 R5,399 Discovery Miles 53 990
Loot
Nadine Gordimer Paperback  (2)
R398 R330 Discovery Miles 3 300
Conforming Bandage
R5 Discovery Miles 50
HP 330 Wireless Keyboard and Mouse Combo
R800 R450 Discovery Miles 4 500
A Desire To Return To The Ruins - A Look…
Lucas Ledwaba Paperback R387 R49 Discovery Miles 490
Space Blankets (Adult)
 (1)
R16 Discovery Miles 160
Roald Dahl's The Witches
Anne Hathaway, Octavia Spencer, … DVD  (1)
R137 Discovery Miles 1 370
Too Hard To Forget
Tessa Bailey Paperback R280 R224 Discovery Miles 2 240
Loot
Nadine Gordimer Paperback  (2)
R398 R330 Discovery Miles 3 300

 

Partners