MARC details
000 -LEADER |
fixed length control field |
03645nam a22006015i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
TR-AnTOB |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20231122141146.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
211019s2022 si | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9789811662614 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-981-16-6261-4 |
Source of number or code |
doi |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
TR-AnTOB |
Language of cataloging |
eng |
Transcribing agency |
TR-AnTOB |
Description conventions |
rda |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
İngilizce |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QC665.S3 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
TJF |
Source |
bicssc |
|
Subject category code |
TEC024000 |
Source |
bisacsh |
|
Subject category code |
TJF |
Source |
thema |
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
QC665.S3EBK |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Ren, Qiang. |
Relator term |
author. |
Authority record control number or standard number |
(orcid)0000-0002-2581-7709 |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT |
Title |
Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning |
Medium |
[electronic resource] / |
Statement of responsibility, etc. |
by Qiang Ren, Yinpeng Wang, Yongzhong Li, Shutong Qi. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2022. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Singapore : |
Name of producer, publisher, distributor, manufacturer |
Springer Nature Singapore : |
-- |
Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction to Electromagnetic Problems -- Basic Principles of Unveiling Electromagnetic Problems Based on Deep Learning -- Building Database -- Two-Dimensional Electromagnetic Scattering Solver -- Three-Dimensional Electromagnetic Scattering Solver. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Telecommunication. |
|
Topical term or geographic name entry element |
Mathematics—Data processing. |
|
Topical term or geographic name entry element |
Mathematical physics. |
|
Topical term or geographic name entry element |
Computer simulation. |
|
Topical term or geographic name entry element |
Machine learning. |
|
Topical term or geographic name entry element |
Artificial intelligence. |
|
Topical term or geographic name entry element |
Microwaves, RF Engineering and Optical Communications. |
|
Topical term or geographic name entry element |
Computational Science and Engineering. |
|
Topical term or geographic name entry element |
Computational Physics and Simulations. |
|
Topical term or geographic name entry element |
Machine Learning. |
|
Topical term or geographic name entry element |
Artificial Intelligence. |
653 #0 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Electromagnetic waves -- Scattering -- Data processing |
|
Uncontrolled term |
Machine learning |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Wang, Yinpeng. |
Relator term |
author. |
Authority record control number or standard number |
(orcid)0000-0002-8293-6499 |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
|
Personal name |
Li, Yongzhong. |
Relator term |
author. |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
|
Personal name |
Qi, Shutong. |
Relator term |
author. |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-981-16-6261-4">https://doi.org/10.1007/978-981-16-6261-4</a> |
Materials specified |
Springer eBooks |
Public note |
Online access link to the resource |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
E-Book |