Dynamic fuzzy machine learning:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
De Gruyter
[2018]
|
| Schlagworte: | |
| Online-Zugang: | http://www.degruyter.com/search?f_0=isbnissn&q_0=9783110518702&searchTitles=true |
| Beschreibung: | xiii, 323 Seiten Illustrationen, Diagramme |
| ISBN: | 9783110518702 9783110520668 |
Internformat
MARC
| LEADER | 00000nam a22000008c 4500 | ||
|---|---|---|---|
| 001 | BV044623069 | ||
| 003 | DE-604 | ||
| 005 | 20180517 | ||
| 007 | t | ||
| 008 | 171113s2018 gw a||| |||| 00||| eng d | ||
| 015 | |a 17,N30 |2 dnb | ||
| 016 | 7 | |a 113687707X |2 DE-101 | |
| 020 | |a 9783110518702 |c : EUR 129.95 (DE) (freier Preis), EUR 131.10 (AT) (freier Preis) |9 978-3-11-051870-2 | ||
| 020 | |a 9783110520668 |c Set |9 978-3-11-052066-8 | ||
| 024 | 3 | |a 9783110518702 | |
| 035 | |a (OCoLC)1015884947 | ||
| 035 | |a (DE-599)DNB113687707X | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a gw |c XA-DE-BE | ||
| 049 | |a DE-20 |a DE-355 |a DE-91G |a DE-29T |a DE-634 | ||
| 082 | 0 | |a 004 |2 23 | |
| 084 | |a ST 330 |0 (DE-625)143663: |2 rvk | ||
| 084 | |a 004 |2 sdnb | ||
| 084 | |a DAT 708f |2 stub | ||
| 100 | 1 | |a Li, Fanzhang |e Verfasser |0 (DE-588)1148670343 |4 aut | |
| 245 | 1 | 0 | |a Dynamic fuzzy machine learning |c Li Fanzhang, Zhang Li, Zhang Zhao |
| 264 | 1 | |a Berlin |b De Gruyter |c [2018] | |
| 300 | |a xiii, 323 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Dynamisches Modell |0 (DE-588)4150932-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Informationstechnik |0 (DE-588)4026926-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Fuzzy-Menge |0 (DE-588)4061868-7 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 1 | |a Fuzzy-Menge |0 (DE-588)4061868-7 |D s |
| 689 | 0 | 2 | |a Dynamisches Modell |0 (DE-588)4150932-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 1 | 1 | |a Informationstechnik |0 (DE-588)4026926-7 |D s |
| 689 | 1 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Zhang, Li |0 (DE-588)1148670602 |4 aut | |
| 700 | 1 | |a Zhang, Zhao |0 (DE-588)1148670947 |4 aut | |
| 710 | 2 | |a Walter de Gruyter GmbH & Co. KG |0 (DE-588)10095502-2 |4 pbl | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, PDF |z 978-3-11-052065-1 |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, EPUB |z 978-3-11-051875-7 |
| 856 | 4 | 2 | |m X:MVB |u http://www.degruyter.com/search?f_0=isbnissn&q_0=9783110518702&searchTitles=true |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030021295 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
Datensatz im Suchindex
| _version_ | 1804178026045374464 |
|---|---|
| any_adam_object | |
| author | Li, Fanzhang Zhang, Li Zhang, Zhao |
| author_GND | (DE-588)1148670343 (DE-588)1148670602 (DE-588)1148670947 |
| author_facet | Li, Fanzhang Zhang, Li Zhang, Zhao |
| author_role | aut aut aut |
| author_sort | Li, Fanzhang |
| author_variant | f l fl l z lz z z zz |
| building | Verbundindex |
| bvnumber | BV044623069 |
| classification_rvk | ST 330 |
| classification_tum | DAT 708f |
| ctrlnum | (OCoLC)1015884947 (DE-599)DNB113687707X |
| dewey-full | 004 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004 |
| dewey-search | 004 |
| dewey-sort | 14 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02354nam a22005898c 4500</leader><controlfield tag="001">BV044623069</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20180517 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">171113s2018 gw a||| |||| 00||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">17,N30</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">113687707X</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783110518702</subfield><subfield code="c">: EUR 129.95 (DE) (freier Preis), EUR 131.10 (AT) (freier Preis)</subfield><subfield code="9">978-3-11-051870-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783110520668</subfield><subfield code="c">Set</subfield><subfield code="9">978-3-11-052066-8</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9783110518702</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1015884947</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB113687707X</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BE</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-20</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-91G</subfield><subfield code="a">DE-29T</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 330</subfield><subfield code="0">(DE-625)143663:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">004</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 708f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Fanzhang</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1148670343</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Dynamic fuzzy machine learning</subfield><subfield code="c">Li Fanzhang, Zhang Li, Zhang Zhao</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin</subfield><subfield code="b">De Gruyter</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xiii, 323 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Dynamisches Modell</subfield><subfield code="0">(DE-588)4150932-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Informationstechnik</subfield><subfield code="0">(DE-588)4026926-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</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="650" ind1="0" ind2="7"><subfield code="a">Fuzzy-Menge</subfield><subfield code="0">(DE-588)4061868-7</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="1"><subfield code="a">Fuzzy-Menge</subfield><subfield code="0">(DE-588)4061868-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Dynamisches Modell</subfield><subfield code="0">(DE-588)4150932-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Informationstechnik</subfield><subfield code="0">(DE-588)4026926-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Li</subfield><subfield code="0">(DE-588)1148670602</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Zhao</subfield><subfield code="0">(DE-588)1148670947</subfield><subfield code="4">aut</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Walter de Gruyter GmbH & Co. KG</subfield><subfield code="0">(DE-588)10095502-2</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe, PDF</subfield><subfield code="z">978-3-11-052065-1</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe, EPUB</subfield><subfield code="z">978-3-11-051875-7</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">X:MVB</subfield><subfield code="u">http://www.degruyter.com/search?f_0=isbnissn&q_0=9783110518702&searchTitles=true</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030021295</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></record></collection> |
| id | DE-604.BV044623069 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:57:25Z |
| institution | BVB |
| institution_GND | (DE-588)10095502-2 |
| isbn | 9783110518702 9783110520668 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030021295 |
| oclc_num | 1015884947 |
| open_access_boolean | |
| owner | DE-20 DE-355 DE-BY-UBR DE-91G DE-BY-TUM DE-29T DE-634 |
| owner_facet | DE-20 DE-355 DE-BY-UBR DE-91G DE-BY-TUM DE-29T DE-634 |
| physical | xiii, 323 Seiten Illustrationen, Diagramme |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | De Gruyter |
| record_format | marc |
| spelling | Li, Fanzhang Verfasser (DE-588)1148670343 aut Dynamic fuzzy machine learning Li Fanzhang, Zhang Li, Zhang Zhao Berlin De Gruyter [2018] xiii, 323 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Dynamisches Modell (DE-588)4150932-8 gnd rswk-swf Informationstechnik (DE-588)4026926-7 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Fuzzy-Menge (DE-588)4061868-7 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s Fuzzy-Menge (DE-588)4061868-7 s Dynamisches Modell (DE-588)4150932-8 s DE-604 Künstliche Intelligenz (DE-588)4033447-8 s Informationstechnik (DE-588)4026926-7 s 1\p DE-604 Zhang, Li (DE-588)1148670602 aut Zhang, Zhao (DE-588)1148670947 aut Walter de Gruyter GmbH & Co. KG (DE-588)10095502-2 pbl Erscheint auch als Online-Ausgabe, PDF 978-3-11-052065-1 Erscheint auch als Online-Ausgabe, EPUB 978-3-11-051875-7 X:MVB http://www.degruyter.com/search?f_0=isbnissn&q_0=9783110518702&searchTitles=true 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Li, Fanzhang Zhang, Li Zhang, Zhao Dynamic fuzzy machine learning Künstliche Intelligenz (DE-588)4033447-8 gnd Dynamisches Modell (DE-588)4150932-8 gnd Informationstechnik (DE-588)4026926-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Fuzzy-Menge (DE-588)4061868-7 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4150932-8 (DE-588)4026926-7 (DE-588)4193754-5 (DE-588)4061868-7 |
| title | Dynamic fuzzy machine learning |
| title_auth | Dynamic fuzzy machine learning |
| title_exact_search | Dynamic fuzzy machine learning |
| title_full | Dynamic fuzzy machine learning Li Fanzhang, Zhang Li, Zhang Zhao |
| title_fullStr | Dynamic fuzzy machine learning Li Fanzhang, Zhang Li, Zhang Zhao |
| title_full_unstemmed | Dynamic fuzzy machine learning Li Fanzhang, Zhang Li, Zhang Zhao |
| title_short | Dynamic fuzzy machine learning |
| title_sort | dynamic fuzzy machine learning |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Dynamisches Modell (DE-588)4150932-8 gnd Informationstechnik (DE-588)4026926-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Fuzzy-Menge (DE-588)4061868-7 gnd |
| topic_facet | Künstliche Intelligenz Dynamisches Modell Informationstechnik Maschinelles Lernen Fuzzy-Menge |
| url | http://www.degruyter.com/search?f_0=isbnissn&q_0=9783110518702&searchTitles=true |
| work_keys_str_mv | AT lifanzhang dynamicfuzzymachinelearning AT zhangli dynamicfuzzymachinelearning AT zhangzhao dynamicfuzzymachinelearning AT walterdegruytergmbhcokg dynamicfuzzymachinelearning |