Neural approximations for optimal control and decision:
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2020]
|
| Schriftenreihe: | Communications and Control Engineering
|
| Schlagworte: | |
| Online-Zugang: | BFB01 BTU01 FAB01 FAW01 FFW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FWS01 FWS02 HTW01 TUM01 UBT01 UBY01 UPA01 URL des Erstveröffentlichers |
| Beschreibung: | 1 Online-Ressource (xviii, 517 Seiten) Illustrationen |
| ISBN: | 9783030296933 |
| ISSN: | 2197-7119 |
| DOI: | 10.1007/978-3-030-29693-3 |
Internformat
MARC
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| 100 | 1 | |a Zoppoli, Riccardo |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Neural approximations for optimal control and decision |c Riccardo Zoppoli, Marcello Sanguineti, Giorgio Gnecco, Thomas Parisini |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | 746089 |
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| _version_ | 1806190379977932800 |
| any_adam_object | |
| author | Zoppoli, Riccardo Sanguineti, Marcello Gnecco, Giorgio Parisini, Thomas |
| author_facet | Zoppoli, Riccardo Sanguineti, Marcello Gnecco, Giorgio Parisini, Thomas |
| author_role | aut aut aut aut |
| author_sort | Zoppoli, Riccardo |
| author_variant | r z rz m s ms g g gg t p tp |
| building | Verbundindex |
| bvnumber | BV046325193 |
| classification_tum | DAT 000 |
| collection | ZDB-2-INR |
| ctrlnum | (ZDB-2-INR)9783030296933 (OCoLC)1136286015 (DE-599)BVBBV046325193 |
| dewey-full | 629.8 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8 |
| dewey-search | 629.8 |
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| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| doi_str_mv | 10.1007/978-3-030-29693-3 |
| format | Electronic eBook |
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| id | DE-604.BV046325193 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T15:02:55Z |
| institution | BVB |
| isbn | 9783030296933 |
| issn | 2197-7119 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031702143 |
| oclc_num | 1136286015 |
| open_access_boolean | |
| owner | DE-1028 DE-860 DE-91 DE-BY-TUM DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-523 DE-859 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-522 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 |
| owner_facet | DE-1028 DE-860 DE-91 DE-BY-TUM DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-523 DE-859 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-522 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 |
| physical | 1 Online-Ressource (xviii, 517 Seiten) Illustrationen |
| psigel | ZDB-2-INR ZDB-2-INR_2020 |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer |
| record_format | marc |
| series2 | Communications and Control Engineering |
| spellingShingle | Zoppoli, Riccardo Sanguineti, Marcello Gnecco, Giorgio Parisini, Thomas Neural approximations for optimal control and decision Control and Systems Theory Systems Theory, Control Operations Research/Decision Theory Artificial Intelligence Optimization Control engineering System theory Operations research Decision making Artificial intelligence Mathematical optimization |
| title | Neural approximations for optimal control and decision |
| title_auth | Neural approximations for optimal control and decision |
| title_exact_search | Neural approximations for optimal control and decision |
| title_full | Neural approximations for optimal control and decision Riccardo Zoppoli, Marcello Sanguineti, Giorgio Gnecco, Thomas Parisini |
| title_fullStr | Neural approximations for optimal control and decision Riccardo Zoppoli, Marcello Sanguineti, Giorgio Gnecco, Thomas Parisini |
| title_full_unstemmed | Neural approximations for optimal control and decision Riccardo Zoppoli, Marcello Sanguineti, Giorgio Gnecco, Thomas Parisini |
| title_short | Neural approximations for optimal control and decision |
| title_sort | neural approximations for optimal control and decision |
| topic | Control and Systems Theory Systems Theory, Control Operations Research/Decision Theory Artificial Intelligence Optimization Control engineering System theory Operations research Decision making Artificial intelligence Mathematical optimization |
| topic_facet | Control and Systems Theory Systems Theory, Control Operations Research/Decision Theory Artificial Intelligence Optimization Control engineering System theory Operations research Decision making Artificial intelligence Mathematical optimization |
| url | https://doi.org/10.1007/978-3-030-29693-3 |
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