State-space approaches for modelling and control in financial engineering: systems theory and machine learning methods
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
2017
|
| Schriftenreihe: | Intelligent Systems Reference Library
125 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 TUM01 UBY01 Volltext |
| Beschreibung: | 1 Online-Ressource (xxviii, 310 Seiten) Illustrationen, Diagramme |
| ISBN: | 9783319528663 |
| ISSN: | 1868-4394 |
| DOI: | 10.1007/978-3-319-52866-3 |
Internformat
MARC
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Datensatz im Suchindex
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| author | Rigatos, Gerasimos G. 1971- |
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| discipline | Informatik Elektrotechnik Maschinenbau |
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| id | DE-604.BV044291171 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T12:36:01Z |
| institution | BVB |
| isbn | 9783319528663 |
| issn | 1868-4394 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029695273 |
| oclc_num | 992459414 |
| open_access_boolean | |
| owner | DE-859 DE-860 DE-91 DE-BY-TUM DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-573 DE-863 DE-BY-FWS DE-706 DE-634 DE-862 DE-BY-FWS DE-92 |
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| physical | 1 Online-Ressource (xxviii, 310 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-2-ENG ZDB-2-ENG_2017 |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| record_format | marc |
| series | Intelligent Systems Reference Library |
| series2 | Intelligent systems reference library |
| spellingShingle | Rigatos, Gerasimos G. 1971- State-space approaches for modelling and control in financial engineering systems theory and machine learning methods Intelligent Systems Reference Library Engineering Risk management Computational intelligence Complexity, Computational Control engineering Electronics Microelectronics Computational Intelligence Risk Management Applications of Nonlinear Dynamics and Chaos Theory Control Complexity Electronics and Microelectronics, Instrumentation Ingenieurwissenschaften |
| title | State-space approaches for modelling and control in financial engineering systems theory and machine learning methods |
| title_auth | State-space approaches for modelling and control in financial engineering systems theory and machine learning methods |
| title_exact_search | State-space approaches for modelling and control in financial engineering systems theory and machine learning methods |
| title_full | State-space approaches for modelling and control in financial engineering systems theory and machine learning methods Gerasimos G. Rigatos |
| title_fullStr | State-space approaches for modelling and control in financial engineering systems theory and machine learning methods Gerasimos G. Rigatos |
| title_full_unstemmed | State-space approaches for modelling and control in financial engineering systems theory and machine learning methods Gerasimos G. Rigatos |
| title_short | State-space approaches for modelling and control in financial engineering |
| title_sort | state space approaches for modelling and control in financial engineering systems theory and machine learning methods |
| title_sub | systems theory and machine learning methods |
| topic | Engineering Risk management Computational intelligence Complexity, Computational Control engineering Electronics Microelectronics Computational Intelligence Risk Management Applications of Nonlinear Dynamics and Chaos Theory Control Complexity Electronics and Microelectronics, Instrumentation Ingenieurwissenschaften |
| topic_facet | Engineering Risk management Computational intelligence Complexity, Computational Control engineering Electronics Microelectronics Computational Intelligence Risk Management Applications of Nonlinear Dynamics and Chaos Theory Control Complexity Electronics and Microelectronics, Instrumentation Ingenieurwissenschaften |
| url | https://doi.org/10.1007/978-3-319-52866-3 |
| volume_link | (DE-604)BV041145603 |
| work_keys_str_mv | AT rigatosgerasimosg statespaceapproachesformodellingandcontrolinfinancialengineeringsystemstheoryandmachinelearningmethods |