Learning Systems:
A learning system can be defined as a system which can adapt its behaviour to become more effective at a particular task or set of tasks. It consists of an architecture with a set of variable parameters and an algorithm. Learning systems are useful in many fields, one of the major areas being in con...
Gespeichert in:
| 1. Verfasser: | |
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| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
1995
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| Schlagworte: | |
| Online-Zugang: | BTU01 URL des Erstveröffentlichers |
| Zusammenfassung: | A learning system can be defined as a system which can adapt its behaviour to become more effective at a particular task or set of tasks. It consists of an architecture with a set of variable parameters and an algorithm. Learning systems are useful in many fields, one of the major areas being in control and system identification. This work covers major aspects of learning systems: system architecture, choice of performance index and methods measuring error. Major learning algorithms are explained, including proofs of convergence. Artificial neural networks, which are an important class of learning systems and have been subject to rapidly increasing popularity, are discussed. Where appropriate, examples have been given to demonstrate the practical use of techniques developed in the text. System identification and control using multi-layer networks and CMAC (Cerebellar Model Articulation Controller) are also presented |
| Beschreibung: | 1 Online-Ressource (XIII, 119 p) |
| ISBN: | 9781447130895 |
| DOI: | 10.1007/978-1-4471-3089-5 |
Internformat
MARC
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| 100 | 1 | |a Aved’yan, Eduard |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Learning Systems |c by Eduard Aved’yan ; edited by J. Mason, P. C. Parks |
| 264 | 1 | |a London |b Springer London |c 1995 | |
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| 520 | |a A learning system can be defined as a system which can adapt its behaviour to become more effective at a particular task or set of tasks. It consists of an architecture with a set of variable parameters and an algorithm. Learning systems are useful in many fields, one of the major areas being in control and system identification. This work covers major aspects of learning systems: system architecture, choice of performance index and methods measuring error. Major learning algorithms are explained, including proofs of convergence. Artificial neural networks, which are an important class of learning systems and have been subject to rapidly increasing popularity, are discussed. Where appropriate, examples have been given to demonstrate the practical use of techniques developed in the text. System identification and control using multi-layer networks and CMAC (Cerebellar Model Articulation Controller) are also presented | ||
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Control, Robotics, Mechatronics | |
| 650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
| 650 | 4 | |a Computer Hardware | |
| 650 | 4 | |a Software Engineering/Programming and Operating Systems | |
| 650 | 4 | |a Combinatorics | |
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Computer hardware | |
| 650 | 4 | |a Software engineering | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Combinatorics | |
| 650 | 4 | |a Control engineering | |
| 650 | 4 | |a Robotics | |
| 650 | 4 | |a Mechatronics | |
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| 700 | 1 | |a Parks, P. C. |4 edt | |
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Datensatz im Suchindex
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| author | Aved’yan, Eduard |
| author2 | Mason, J. Parks, P. C. |
| author2_role | edt edt |
| author2_variant | j m jm p c p pc pcp |
| author_facet | Aved’yan, Eduard Mason, J. Parks, P. C. |
| author_role | aut |
| author_sort | Aved’yan, Eduard |
| author_variant | e a ea |
| building | Verbundindex |
| bvnumber | BV045186192 |
| classification_rvk | ST 285 ST 300 ST 302 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-1-4471-3089-5 (OCoLC)1053829396 (DE-599)BVBBV045186192 |
| 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 | Informatik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| doi_str_mv | 10.1007/978-1-4471-3089-5 |
| format | Electronic eBook |
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| id | DE-604.BV045186192 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:57Z |
| institution | BVB |
| isbn | 9781447130895 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030575369 |
| oclc_num | 1053829396 |
| open_access_boolean | |
| owner | DE-634 |
| owner_facet | DE-634 |
| physical | 1 Online-Ressource (XIII, 119 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | Springer London |
| record_format | marc |
| spelling | Aved’yan, Eduard Verfasser aut Learning Systems by Eduard Aved’yan ; edited by J. Mason, P. C. Parks London Springer London 1995 1 Online-Ressource (XIII, 119 p) txt rdacontent c rdamedia cr rdacarrier A learning system can be defined as a system which can adapt its behaviour to become more effective at a particular task or set of tasks. It consists of an architecture with a set of variable parameters and an algorithm. Learning systems are useful in many fields, one of the major areas being in control and system identification. This work covers major aspects of learning systems: system architecture, choice of performance index and methods measuring error. Major learning algorithms are explained, including proofs of convergence. Artificial neural networks, which are an important class of learning systems and have been subject to rapidly increasing popularity, are discussed. Where appropriate, examples have been given to demonstrate the practical use of techniques developed in the text. System identification and control using multi-layer networks and CMAC (Cerebellar Model Articulation Controller) are also presented Engineering Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) Computer Hardware Software Engineering/Programming and Operating Systems Combinatorics Computer hardware Software engineering Artificial intelligence Control engineering Robotics Mechatronics Lernendes System (DE-588)4120666-6 gnd rswk-swf Lernendes System (DE-588)4120666-6 s 1\p DE-604 Mason, J. edt Parks, P. C. edt Erscheint auch als Druck-Ausgabe 9783540199960 https://doi.org/10.1007/978-1-4471-3089-5 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Aved’yan, Eduard Learning Systems Engineering Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) Computer Hardware Software Engineering/Programming and Operating Systems Combinatorics Computer hardware Software engineering Artificial intelligence Control engineering Robotics Mechatronics Lernendes System (DE-588)4120666-6 gnd |
| subject_GND | (DE-588)4120666-6 |
| title | Learning Systems |
| title_auth | Learning Systems |
| title_exact_search | Learning Systems |
| title_full | Learning Systems by Eduard Aved’yan ; edited by J. Mason, P. C. Parks |
| title_fullStr | Learning Systems by Eduard Aved’yan ; edited by J. Mason, P. C. Parks |
| title_full_unstemmed | Learning Systems by Eduard Aved’yan ; edited by J. Mason, P. C. Parks |
| title_short | Learning Systems |
| title_sort | learning systems |
| topic | Engineering Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) Computer Hardware Software Engineering/Programming and Operating Systems Combinatorics Computer hardware Software engineering Artificial intelligence Control engineering Robotics Mechatronics Lernendes System (DE-588)4120666-6 gnd |
| topic_facet | Engineering Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) Computer Hardware Software Engineering/Programming and Operating Systems Combinatorics Computer hardware Software engineering Artificial intelligence Control engineering Robotics Mechatronics Lernendes System |
| url | https://doi.org/10.1007/978-1-4471-3089-5 |
| work_keys_str_mv | AT avedyaneduard learningsystems AT masonj learningsystems AT parkspc learningsystems |