Learning automata: theory and applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford, OX, U.K.
Pergamon
1994
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Online-Zugang: | FAW01 Volltext |
| Beschreibung: | Includes bibliographical references (pages 206-214) and index Learning systems have made a significant impact on all areas of engineering problems. They are attractive methods for solving many problems which are too complex, highly non-linear, uncertain, incomplete or non-stationary, and have subtle and interactive exchanges with the environment where they operate. The main aim of the book is to give a systematic treatment of learning automata and to produce a guide to a wide variety of ideas and methods that can be used in learning systems, including enough theoretical material to enable the user of the relevant techniques and concepts to understand why and how they can be used. The book also contains the materials that are necessary for the understanding and development of learning automata for different purposes such as processes identification, optimization and control. Learning Automata: Theory and Applications may be recommended as a reference for courses on learning automata, modelling, control and optimization. The presentation is intended both for graduate students in control theory and statistics and for practising control engineers |
| Beschreibung: | xi, 225 pages |
| ISBN: | 0080420249 9780080420240 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV044380310 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 170630s1994 |||| o||u| ||||||eng d | ||
| 020 | |a 0080420249 |9 0-08-042024-9 | ||
| 020 | |a 9780080420240 |9 978-0-08-042024-0 | ||
| 035 | |a (ZDB-33-ESD)ocn624195841 | ||
| 035 | |a (OCoLC)624195841 | ||
| 035 | |a (DE-599)BVBBV044380310 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 | ||
| 082 | 0 | |a 006.3/1 |2 20 | |
| 100 | 1 | |a Najim, K. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Learning automata |b theory and applications |c Kaddour Najim and Alexander S. Poznyak |
| 250 | |a 1st ed | ||
| 264 | 1 | |a Oxford, OX, U.K. |b Pergamon |c 1994 | |
| 300 | |a xi, 225 pages | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references (pages 206-214) and index | ||
| 500 | |a Learning systems have made a significant impact on all areas of engineering problems. They are attractive methods for solving many problems which are too complex, highly non-linear, uncertain, incomplete or non-stationary, and have subtle and interactive exchanges with the environment where they operate. The main aim of the book is to give a systematic treatment of learning automata and to produce a guide to a wide variety of ideas and methods that can be used in learning systems, including enough theoretical material to enable the user of the relevant techniques and concepts to understand why and how they can be used. The book also contains the materials that are necessary for the understanding and development of learning automata for different purposes such as processes identification, optimization and control. Learning Automata: Theory and Applications may be recommended as a reference for courses on learning automata, modelling, control and optimization. The presentation is intended both for graduate students in control theory and statistics and for practising control engineers | ||
| 650 | 7 | |a APRENDIZADO COMPUTACIONAL. |2 larpcal | |
| 650 | 7 | |a INTELIGÊNCIA ARTIFICIAL. |2 larpcal | |
| 650 | 7 | |a Commande automatique |2 ram | |
| 650 | 7 | |a Systèmes auto-organisés |2 ram | |
| 650 | 7 | |a Intelligence artificielle |2 ram | |
| 650 | 7 | |a Apprentissage automatique |2 ram | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Self-organizing systems |2 fast | |
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Self-organizing systems | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Machine learning | |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Poznyak, Alexander S. |e Sonstige |4 oth | |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/book/9780080420240 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-33-ESD | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029782532 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u http://www.sciencedirect.com/science/book/9780080420240 |l FAW01 |p ZDB-33-ESD |q FAW_PDA_ESD |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804177642665017344 |
|---|---|
| any_adam_object | |
| author | Najim, K. |
| author_facet | Najim, K. |
| author_role | aut |
| author_sort | Najim, K. |
| author_variant | k n kn |
| building | Verbundindex |
| bvnumber | BV044380310 |
| collection | ZDB-33-ESD |
| ctrlnum | (ZDB-33-ESD)ocn624195841 (OCoLC)624195841 (DE-599)BVBBV044380310 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 1st ed |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03203nmm a2200577zc 4500</leader><controlfield tag="001">BV044380310</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">170630s1994 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0080420249</subfield><subfield code="9">0-08-042024-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780080420240</subfield><subfield code="9">978-0-08-042024-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-33-ESD)ocn624195841</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)624195841</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044380310</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/1</subfield><subfield code="2">20</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Najim, K.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Learning automata</subfield><subfield code="b">theory and applications</subfield><subfield code="c">Kaddour Najim and Alexander S. Poznyak</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford, OX, U.K.</subfield><subfield code="b">Pergamon</subfield><subfield code="c">1994</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xi, 225 pages</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 206-214) and index</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Learning systems have made a significant impact on all areas of engineering problems. They are attractive methods for solving many problems which are too complex, highly non-linear, uncertain, incomplete or non-stationary, and have subtle and interactive exchanges with the environment where they operate. The main aim of the book is to give a systematic treatment of learning automata and to produce a guide to a wide variety of ideas and methods that can be used in learning systems, including enough theoretical material to enable the user of the relevant techniques and concepts to understand why and how they can be used. The book also contains the materials that are necessary for the understanding and development of learning automata for different purposes such as processes identification, optimization and control. Learning Automata: Theory and Applications may be recommended as a reference for courses on learning automata, modelling, control and optimization. The presentation is intended both for graduate students in control theory and statistics and for practising control engineers</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">APRENDIZADO COMPUTACIONAL.</subfield><subfield code="2">larpcal</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">INTELIGÊNCIA ARTIFICIAL.</subfield><subfield code="2">larpcal</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Commande automatique</subfield><subfield code="2">ram</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Systèmes auto-organisés</subfield><subfield code="2">ram</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Intelligence artificielle</subfield><subfield code="2">ram</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Apprentissage automatique</subfield><subfield code="2">ram</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Artificial intelligence</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Machine learning</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Self-organizing systems</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Künstliche Intelligenz</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Self-organizing systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Poznyak, Alexander S.</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/book/9780080420240</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-ESD</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029782532</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.sciencedirect.com/science/book/9780080420240</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">FAW_PDA_ESD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV044380310 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:51:19Z |
| institution | BVB |
| isbn | 0080420249 9780080420240 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029782532 |
| oclc_num | 624195841 |
| open_access_boolean | |
| owner | DE-1046 |
| owner_facet | DE-1046 |
| physical | xi, 225 pages |
| psigel | ZDB-33-ESD ZDB-33-ESD FAW_PDA_ESD |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| publisher | Pergamon |
| record_format | marc |
| spelling | Najim, K. Verfasser aut Learning automata theory and applications Kaddour Najim and Alexander S. Poznyak 1st ed Oxford, OX, U.K. Pergamon 1994 xi, 225 pages txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 206-214) and index Learning systems have made a significant impact on all areas of engineering problems. They are attractive methods for solving many problems which are too complex, highly non-linear, uncertain, incomplete or non-stationary, and have subtle and interactive exchanges with the environment where they operate. The main aim of the book is to give a systematic treatment of learning automata and to produce a guide to a wide variety of ideas and methods that can be used in learning systems, including enough theoretical material to enable the user of the relevant techniques and concepts to understand why and how they can be used. The book also contains the materials that are necessary for the understanding and development of learning automata for different purposes such as processes identification, optimization and control. Learning Automata: Theory and Applications may be recommended as a reference for courses on learning automata, modelling, control and optimization. The presentation is intended both for graduate students in control theory and statistics and for practising control engineers APRENDIZADO COMPUTACIONAL. larpcal INTELIGÊNCIA ARTIFICIAL. larpcal Commande automatique ram Systèmes auto-organisés ram Intelligence artificielle ram Apprentissage automatique ram Artificial intelligence fast Machine learning fast Self-organizing systems fast Künstliche Intelligenz Self-organizing systems Artificial intelligence Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s 1\p DE-604 Poznyak, Alexander S. Sonstige oth http://www.sciencedirect.com/science/book/9780080420240 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Najim, K. Learning automata theory and applications APRENDIZADO COMPUTACIONAL. larpcal INTELIGÊNCIA ARTIFICIAL. larpcal Commande automatique ram Systèmes auto-organisés ram Intelligence artificielle ram Apprentissage automatique ram Artificial intelligence fast Machine learning fast Self-organizing systems fast Künstliche Intelligenz Self-organizing systems Artificial intelligence Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4193754-5 |
| title | Learning automata theory and applications |
| title_auth | Learning automata theory and applications |
| title_exact_search | Learning automata theory and applications |
| title_full | Learning automata theory and applications Kaddour Najim and Alexander S. Poznyak |
| title_fullStr | Learning automata theory and applications Kaddour Najim and Alexander S. Poznyak |
| title_full_unstemmed | Learning automata theory and applications Kaddour Najim and Alexander S. Poznyak |
| title_short | Learning automata |
| title_sort | learning automata theory and applications |
| title_sub | theory and applications |
| topic | APRENDIZADO COMPUTACIONAL. larpcal INTELIGÊNCIA ARTIFICIAL. larpcal Commande automatique ram Systèmes auto-organisés ram Intelligence artificielle ram Apprentissage automatique ram Artificial intelligence fast Machine learning fast Self-organizing systems fast Künstliche Intelligenz Self-organizing systems Artificial intelligence Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | APRENDIZADO COMPUTACIONAL. INTELIGÊNCIA ARTIFICIAL. Commande automatique Systèmes auto-organisés Intelligence artificielle Apprentissage automatique Artificial intelligence Machine learning Self-organizing systems Künstliche Intelligenz Maschinelles Lernen |
| url | http://www.sciencedirect.com/science/book/9780080420240 |
| work_keys_str_mv | AT najimk learningautomatatheoryandapplications AT poznyakalexanders learningautomatatheoryandapplications |