Applications of deep learning in electromagnetics teaching Maxwell's equations to machines
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | E-Book |
| Sprache: | English |
| Veröffentlicht: |
Stevenage
The Institution of Engineering and Technology
2022
|
| Schriftenreihe: | Computational electromagnetics and engineering
|
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000cam a2200000Mi 4500 | ||
|---|---|---|---|
| 001 | ZDB-10-ESC-on1375551325 | ||
| 003 | OCoLC | ||
| 005 | 20241208213018.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 230413s2022 enka ob 0|1 0 eng d | ||
| 020 | |a 1839535903 | ||
| 020 | |a 9781839535901 | ||
| 020 | |z 183953589X | ||
| 020 | |z 9781839535895 | ||
| 245 | 0 | 0 | |a Applications of deep learning in electromagnetics |b teaching Maxwell's equations to machines |c edited by Maokun Li, Marco Salucci |
| 264 | 1 | |a Stevenage |b The Institution of Engineering and Technology |c 2022 | |
| 300 | |a 1 Online-Ressource (xvii, 458 Seiten) |b Illustrationen | ||
| 336 | |b txt | ||
| 337 | |b c | ||
| 338 | |b cr | ||
| 490 | 0 | |a Computational electromagnetics and engineering | |
| 700 | 1 | |a Li, Maokun | |
| 700 | 1 | |a Salucci, Marco | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 183953589X |
| 856 | 4 | 0 | |l TUM01 |p ZDB-10-ESC |q TUM_PDA_ESC |u https://app.knovel.com/hotlink/toc/id:kpADLETME4/applications-of-deep?kpromoter=marc |3 Volltext |
| 912 | |a ZDB-10-ESC | ||
| 912 | |a ZDB-10-ESC | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-10-ESC-on1375551325 |
|---|---|
| _version_ | 1818779811452026880 |
| adam_text | |
| any_adam_object | |
| author2 | Li, Maokun Salucci, Marco |
| author2_role | |
| author2_variant | m l ml m s ms |
| author_facet | Li, Maokun Salucci, Marco |
| author_sort | Li, Maokun |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-10-ESC |
| format | eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00984cam a2200289Mi 4500</leader><controlfield tag="001">ZDB-10-ESC-on1375551325</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241208213018.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |n|||||||||</controlfield><controlfield tag="008">230413s2022 enka ob 0|1 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1839535903</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781839535901</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">183953589X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781839535895</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Applications of deep learning in electromagnetics</subfield><subfield code="b">teaching Maxwell's equations to machines</subfield><subfield code="c">edited by Maokun Li, Marco Salucci</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Stevenage</subfield><subfield code="b">The Institution of Engineering and Technology</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xvii, 458 Seiten)</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Computational electromagnetics and engineering</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Maokun</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Salucci, Marco</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">183953589X</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-10-ESC</subfield><subfield code="q">TUM_PDA_ESC</subfield><subfield code="u">https://app.knovel.com/hotlink/toc/id:kpADLETME4/applications-of-deep?kpromoter=marc</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-10-ESC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-10-ESC</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-10-ESC-on1375551325 |
| illustrated | Illustrated |
| indexdate | 2024-12-18T12:06:33Z |
| institution | BVB |
| isbn | 1839535903 9781839535901 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xvii, 458 Seiten) Illustrationen |
| psigel | ZDB-10-ESC |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | The Institution of Engineering and Technology |
| record_format | marc |
| series2 | Computational electromagnetics and engineering |
| spelling | Applications of deep learning in electromagnetics teaching Maxwell's equations to machines edited by Maokun Li, Marco Salucci Stevenage The Institution of Engineering and Technology 2022 1 Online-Ressource (xvii, 458 Seiten) Illustrationen txt c cr Computational electromagnetics and engineering Li, Maokun Salucci, Marco Erscheint auch als Druck-Ausgabe 183953589X TUM01 ZDB-10-ESC TUM_PDA_ESC https://app.knovel.com/hotlink/toc/id:kpADLETME4/applications-of-deep?kpromoter=marc Volltext |
| spellingShingle | Applications of deep learning in electromagnetics teaching Maxwell's equations to machines |
| title | Applications of deep learning in electromagnetics teaching Maxwell's equations to machines |
| title_auth | Applications of deep learning in electromagnetics teaching Maxwell's equations to machines |
| title_exact_search | Applications of deep learning in electromagnetics teaching Maxwell's equations to machines |
| title_full | Applications of deep learning in electromagnetics teaching Maxwell's equations to machines edited by Maokun Li, Marco Salucci |
| title_fullStr | Applications of deep learning in electromagnetics teaching Maxwell's equations to machines edited by Maokun Li, Marco Salucci |
| title_full_unstemmed | Applications of deep learning in electromagnetics teaching Maxwell's equations to machines edited by Maokun Li, Marco Salucci |
| title_short | Applications of deep learning in electromagnetics |
| title_sort | applications of deep learning in electromagnetics teaching maxwell s equations to machines |
| title_sub | teaching Maxwell's equations to machines |
| url | https://app.knovel.com/hotlink/toc/id:kpADLETME4/applications-of-deep?kpromoter=marc |
| work_keys_str_mv | AT limaokun applicationsofdeeplearninginelectromagneticsteachingmaxwellsequationstomachines AT saluccimarco applicationsofdeeplearninginelectromagneticsteachingmaxwellsequationstomachines |