Learning Automata and Stochastic Optimization:
In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1997
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Schriftenreihe: | Lecture Notes in Control and Information Sciences
225 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a significant impact on engineering problems in many areas, including modelling, control, optimization, pattern recognition, signal processing and diagnosis. Learning automata have an advantage over other methods in being applicable across a wide range of functions. Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume will be of benefit to practicing control engineers and to graduate students taking courses in optimization, control theory or statistics |
Beschreibung: | 1 Online-Ressource (XII, 207 p. 6 illus) |
ISBN: | 9783540409380 |
DOI: | 10.1007/BFb0015102 |
Internformat
MARC
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Datensatz im Suchindex
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any_adam_object | |
author | Poznyak, A. S. Najim, K. |
author_facet | Poznyak, A. S. Najim, K. |
author_role | aut aut |
author_sort | Poznyak, A. S. |
author_variant | a s p as asp k n kn |
building | Verbundindex |
bvnumber | BV045187026 |
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collection | ZDB-2-ENG |
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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 |
dewey-sort | 3629.8 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Mathematik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
doi_str_mv | 10.1007/BFb0015102 |
format | Electronic eBook |
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id | DE-604.BV045187026 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:58Z |
institution | BVB |
isbn | 9783540409380 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030576203 |
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physical | 1 Online-Ressource (XII, 207 p. 6 illus) |
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publishDate | 1997 |
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publisher | Springer Berlin Heidelberg |
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series2 | Lecture Notes in Control and Information Sciences |
spelling | Poznyak, A. S. Verfasser aut Learning Automata and Stochastic Optimization by A. S. Poznyak, K. Najim Berlin, Heidelberg Springer Berlin Heidelberg 1997 1 Online-Ressource (XII, 207 p. 6 illus) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Control and Information Sciences 225 In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a significant impact on engineering problems in many areas, including modelling, control, optimization, pattern recognition, signal processing and diagnosis. Learning automata have an advantage over other methods in being applicable across a wide range of functions. Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume will be of benefit to practicing control engineers and to graduate students taking courses in optimization, control theory or statistics Engineering Control, Robotics, Mechatronics Vibration, Dynamical Systems, Control Statistical Physics, Dynamical Systems and Complexity Statistical physics Dynamical systems Vibration Dynamics Control engineering Robotics Mechatronics Lernender Automat (DE-588)4167398-0 gnd rswk-swf Stochastische Optimierung (DE-588)4057625-5 gnd rswk-swf Stochastische Optimierung (DE-588)4057625-5 s Lernender Automat (DE-588)4167398-0 s 1\p DE-604 Najim, K. aut Erscheint auch als Druck-Ausgabe 9783540761549 https://doi.org/10.1007/BFb0015102 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Poznyak, A. S. Najim, K. Learning Automata and Stochastic Optimization Engineering Control, Robotics, Mechatronics Vibration, Dynamical Systems, Control Statistical Physics, Dynamical Systems and Complexity Statistical physics Dynamical systems Vibration Dynamics Control engineering Robotics Mechatronics Lernender Automat (DE-588)4167398-0 gnd Stochastische Optimierung (DE-588)4057625-5 gnd |
subject_GND | (DE-588)4167398-0 (DE-588)4057625-5 |
title | Learning Automata and Stochastic Optimization |
title_auth | Learning Automata and Stochastic Optimization |
title_exact_search | Learning Automata and Stochastic Optimization |
title_full | Learning Automata and Stochastic Optimization by A. S. Poznyak, K. Najim |
title_fullStr | Learning Automata and Stochastic Optimization by A. S. Poznyak, K. Najim |
title_full_unstemmed | Learning Automata and Stochastic Optimization by A. S. Poznyak, K. Najim |
title_short | Learning Automata and Stochastic Optimization |
title_sort | learning automata and stochastic optimization |
topic | Engineering Control, Robotics, Mechatronics Vibration, Dynamical Systems, Control Statistical Physics, Dynamical Systems and Complexity Statistical physics Dynamical systems Vibration Dynamics Control engineering Robotics Mechatronics Lernender Automat (DE-588)4167398-0 gnd Stochastische Optimierung (DE-588)4057625-5 gnd |
topic_facet | Engineering Control, Robotics, Mechatronics Vibration, Dynamical Systems, Control Statistical Physics, Dynamical Systems and Complexity Statistical physics Dynamical systems Vibration Dynamics Control engineering Robotics Mechatronics Lernender Automat Stochastische Optimierung |
url | https://doi.org/10.1007/BFb0015102 |
work_keys_str_mv | AT poznyakas learningautomataandstochasticoptimization AT najimk learningautomataandstochasticoptimization |