000 01717nam a2200433 i 4500
001 EBC5157319
003 MiAaPQ
005 20240123174443.0
006 m o d |
007 cr cnu||||||||
008 180206t20182018gw o 001 0 eng d
020 _z9783110518702
020 _a9783110520651
_q(electronic bk.)
035 _a(MiAaPQ)EBC5157319
035 _a(Au-PeEL)EBL5157319
035 _a(CaPaEBR)ebr11497577
035 _a(OCoLC)1020026051
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
050 4 _aQA9.64
_b.F369 2018
082 0 _a511.3
_223
100 1 _aFanzhang, Li,
_eauthor.
245 1 0 _aDynamic fuzzy machine learning /
_cLi Fanzhang, Zhang Li, Zhang Zhao.
264 1 _aBerlin, [Germany] ;
_aBoston, [Massachusetts] :
_bDe Gruyter,
_c2018.
264 4 _c2018
300 _a1 online resource (338 pages)
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
500 _aIncludes index.
588 _aDescription based on online resource; title from PDF title page (EBC, viewed February 6, 2018).
590 _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 _aFuzzy logic.
655 4 _aElectronic books.
700 1 _aLi, Zhang,
_eauthor.
700 1 _aZhao, Zhang,
_eauthor.
776 0 8 _iPrint version:
_aFanzhang, Li.
_tDynamic fuzzy machine learning.
_dBerlin, [Germany] ; Boston, [Massachusetts] : De Gruyter, c2018
_hxiv, 324 pages
_z9783110518702
797 2 _aProQuest (Firm)
856 4 0 _uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=5157319
_zClick to View
999 _c302224
_d302224