Hybrid continuous-time deep neural networks for robot system identification and control:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Kaiserslautern ; Landau
2023
|
| Schlagworte: | |
| Beschreibung: | IV, 197 Seiten Illustrationen, Diagramme |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV049878102 | ||
| 003 | DE-604 | ||
| 007 | t| | ||
| 008 | 240919s2023 xx a||| m||| 00||| eng d | ||
| 035 | |a (OCoLC)1466913688 | ||
| 035 | |a (DE-599)BVBBV049878102 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-29T | ||
| 100 | 1 | |a Weigand, Jonas Benjamin |e Verfasser |0 (DE-588)1325254347 |4 aut | |
| 245 | 1 | 0 | |a Hybrid continuous-time deep neural networks for robot system identification and control |c Jonas Benjamin Weigand |
| 264 | 1 | |a Kaiserslautern ; Landau |c 2023 | |
| 300 | |a IV, 197 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 502 | |b Dissertation |c Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau |d 2023 | ||
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035217534 | |
Datensatz im Suchindex
| _version_ | 1817696770886467584 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Weigand, Jonas Benjamin |
| author_GND | (DE-588)1325254347 |
| author_facet | Weigand, Jonas Benjamin |
| author_role | aut |
| author_sort | Weigand, Jonas Benjamin |
| author_variant | j b w jb jbw |
| building | Verbundindex |
| bvnumber | BV049878102 |
| ctrlnum | (OCoLC)1466913688 (DE-599)BVBBV049878102 |
| format | Thesis Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV049878102</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">240919s2023 xx a||| m||| 00||| eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1466913688</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049878102</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Weigand, Jonas Benjamin</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1325254347</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Hybrid continuous-time deep neural networks for robot system identification and control</subfield><subfield code="c">Jonas Benjamin Weigand</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Kaiserslautern ; Landau</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">IV, 197 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau</subfield><subfield code="d">2023</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035217534</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV049878102 |
| illustrated | Illustrated |
| indexdate | 2024-12-06T13:12:05Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035217534 |
| oclc_num | 1466913688 |
| open_access_boolean | |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | IV, 197 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| record_format | marc |
| spelling | Weigand, Jonas Benjamin Verfasser (DE-588)1325254347 aut Hybrid continuous-time deep neural networks for robot system identification and control Jonas Benjamin Weigand Kaiserslautern ; Landau 2023 IV, 197 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau 2023 (DE-588)4113937-9 Hochschulschrift gnd-content |
| spellingShingle | Weigand, Jonas Benjamin Hybrid continuous-time deep neural networks for robot system identification and control |
| subject_GND | (DE-588)4113937-9 |
| title | Hybrid continuous-time deep neural networks for robot system identification and control |
| title_auth | Hybrid continuous-time deep neural networks for robot system identification and control |
| title_exact_search | Hybrid continuous-time deep neural networks for robot system identification and control |
| title_full | Hybrid continuous-time deep neural networks for robot system identification and control Jonas Benjamin Weigand |
| title_fullStr | Hybrid continuous-time deep neural networks for robot system identification and control Jonas Benjamin Weigand |
| title_full_unstemmed | Hybrid continuous-time deep neural networks for robot system identification and control Jonas Benjamin Weigand |
| title_short | Hybrid continuous-time deep neural networks for robot system identification and control |
| title_sort | hybrid continuous time deep neural networks for robot system identification and control |
| topic_facet | Hochschulschrift |
| work_keys_str_mv | AT weigandjonasbenjamin hybridcontinuoustimedeepneuralnetworksforrobotsystemidentificationandcontrol |