Adaptive Algorithms and Stochastic Approximations:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1990
|
| Schriftenreihe: | Applications of Mathematics
22 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Adaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now recognised as keystone of "intelligence" within computerised systems. These diverse areas echo the classes of models which conveniently describe each corresponding system. Thus although there can hardly be a "general theory of adaptive systems" encompassing both the modelling task and the design of the adaptation procedure, nevertheless, these diverse issues have a major common component: namely the use of adaptive algorithms, also known as stochastic approximations in the mathematical statistics literature, that is to say the adaptation procedure (once all modelling problems have been resolved). The juxtaposition of these two expressions in the title reflects the ambition of the authors to produce a reference work, both for engineers who use these adaptive algorithms and for probabilists or statisticians who would like to study stochastic approximations in terms of problems arising from real applications. Hence the book is organised in two parts, the first one user-oriented, and the second providing the mathematical foundations to support the practice described in the first part. The book covers the topcis of convergence, convergence rate, permanent adaptation and tracking, change detection, and is illustrated by various realistic applications originating from these areas of applications |
| Beschreibung: | 1 Online-Ressource (XII, 364p. 24 illus) |
| ISBN: | 9783642758942 9783642758966 |
| ISSN: | 0172-4568 |
| DOI: | 10.1007/978-3-642-75894-2 |
Internformat
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| 100 | 1 | |a Benveniste, Albert |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Adaptive Algorithms and Stochastic Approximations |c by Albert Benveniste, Michel Métivier, Pierre Priouret |
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| 500 | |a Adaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now recognised as keystone of "intelligence" within computerised systems. These diverse areas echo the classes of models which conveniently describe each corresponding system. Thus although there can hardly be a "general theory of adaptive systems" encompassing both the modelling task and the design of the adaptation procedure, nevertheless, these diverse issues have a major common component: namely the use of adaptive algorithms, also known as stochastic approximations in the mathematical statistics literature, that is to say the adaptation procedure (once all modelling problems have been resolved). The juxtaposition of these two expressions in the title reflects the ambition of the authors to produce a reference work, both for engineers who use these adaptive algorithms and for probabilists or statisticians who would like to study stochastic approximations in terms of problems arising from real applications. Hence the book is organised in two parts, the first one user-oriented, and the second providing the mathematical foundations to support the practice described in the first part. The book covers the topcis of convergence, convergence rate, permanent adaptation and tracking, change detection, and is illustrated by various realistic applications originating from these areas of applications | ||
| 650 | 4 | |a Mathematics | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Benveniste, Albert |
| author_facet | Benveniste, Albert |
| author_role | aut |
| author_sort | Benveniste, Albert |
| author_variant | a b ab |
| building | Verbundindex |
| bvnumber | BV042422983 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA ZDB-2-BAE |
| ctrlnum | (OCoLC)1165447017 (DE-599)BVBBV042422983 |
| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-642-75894-2 |
| format | Electronic eBook |
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| id | DE-604.BV042422983 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:12Z |
| institution | BVB |
| isbn | 9783642758942 9783642758966 |
| issn | 0172-4568 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027858400 |
| oclc_num | 1165447017 |
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| owner_facet | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 DE-739 |
| physical | 1 Online-Ressource (XII, 364p. 24 illus) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 1990 |
| publishDateSearch | 1990 |
| publishDateSort | 1990 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series | Applications of Mathematics |
| series2 | Applications of Mathematics |
| spelling | Benveniste, Albert Verfasser aut Adaptive Algorithms and Stochastic Approximations by Albert Benveniste, Michel Métivier, Pierre Priouret Berlin, Heidelberg Springer Berlin Heidelberg 1990 1 Online-Ressource (XII, 364p. 24 illus) txt rdacontent c rdamedia cr rdacarrier Applications of Mathematics 22 0172-4568 Adaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now recognised as keystone of "intelligence" within computerised systems. These diverse areas echo the classes of models which conveniently describe each corresponding system. Thus although there can hardly be a "general theory of adaptive systems" encompassing both the modelling task and the design of the adaptation procedure, nevertheless, these diverse issues have a major common component: namely the use of adaptive algorithms, also known as stochastic approximations in the mathematical statistics literature, that is to say the adaptation procedure (once all modelling problems have been resolved). The juxtaposition of these two expressions in the title reflects the ambition of the authors to produce a reference work, both for engineers who use these adaptive algorithms and for probabilists or statisticians who would like to study stochastic approximations in terms of problems arising from real applications. Hence the book is organised in two parts, the first one user-oriented, and the second providing the mathematical foundations to support the practice described in the first part. The book covers the topcis of convergence, convergence rate, permanent adaptation and tracking, change detection, and is illustrated by various realistic applications originating from these areas of applications Mathematics Chemistry / Mathematics Distribution (Probability theory) Engineering Probability Theory and Stochastic Processes Math. Applications in Chemistry Computational Intelligence Chemie Ingenieurwissenschaften Mathematik Stochastische Approximation (DE-588)4183371-5 gnd rswk-swf Adaptives System (DE-588)4247928-9 gnd rswk-swf Algorithmus (DE-588)4001183-5 gnd rswk-swf Adaptives System (DE-588)4247928-9 s Stochastische Approximation (DE-588)4183371-5 s 1\p DE-604 Algorithmus (DE-588)4001183-5 s 2\p DE-604 Métivier, Michel Sonstige oth Priouret, Pierre Sonstige oth Applications of Mathematics 22 (DE-604)BV000895226 22 https://doi.org/10.1007/978-3-642-75894-2 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Benveniste, Albert Adaptive Algorithms and Stochastic Approximations Applications of Mathematics Mathematics Chemistry / Mathematics Distribution (Probability theory) Engineering Probability Theory and Stochastic Processes Math. Applications in Chemistry Computational Intelligence Chemie Ingenieurwissenschaften Mathematik Stochastische Approximation (DE-588)4183371-5 gnd Adaptives System (DE-588)4247928-9 gnd Algorithmus (DE-588)4001183-5 gnd |
| subject_GND | (DE-588)4183371-5 (DE-588)4247928-9 (DE-588)4001183-5 |
| title | Adaptive Algorithms and Stochastic Approximations |
| title_auth | Adaptive Algorithms and Stochastic Approximations |
| title_exact_search | Adaptive Algorithms and Stochastic Approximations |
| title_full | Adaptive Algorithms and Stochastic Approximations by Albert Benveniste, Michel Métivier, Pierre Priouret |
| title_fullStr | Adaptive Algorithms and Stochastic Approximations by Albert Benveniste, Michel Métivier, Pierre Priouret |
| title_full_unstemmed | Adaptive Algorithms and Stochastic Approximations by Albert Benveniste, Michel Métivier, Pierre Priouret |
| title_short | Adaptive Algorithms and Stochastic Approximations |
| title_sort | adaptive algorithms and stochastic approximations |
| topic | Mathematics Chemistry / Mathematics Distribution (Probability theory) Engineering Probability Theory and Stochastic Processes Math. Applications in Chemistry Computational Intelligence Chemie Ingenieurwissenschaften Mathematik Stochastische Approximation (DE-588)4183371-5 gnd Adaptives System (DE-588)4247928-9 gnd Algorithmus (DE-588)4001183-5 gnd |
| topic_facet | Mathematics Chemistry / Mathematics Distribution (Probability theory) Engineering Probability Theory and Stochastic Processes Math. Applications in Chemistry Computational Intelligence Chemie Ingenieurwissenschaften Mathematik Stochastische Approximation Adaptives System Algorithmus |
| url | https://doi.org/10.1007/978-3-642-75894-2 |
| volume_link | (DE-604)BV000895226 |
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