Optimizing ANFIS using simulated annealing algorithm for classification of microarray gene expression cancer data.

Bibliographic Details
Published in:Medical & Biological Engineering & Computing Vol. 59; no. 3; pp. 497 - 510
Main Authors: Haznedar, Bulent, Arslan, Mustafa Turan, Kalinli, Adem
Format: Journal Article
Published: Springer Nature Mar2021
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=149031281&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 149031281
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: Mar2021
      vid: 59
      iid: 3
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        149031281
        148492613
        10.1007/s11517-021-02331-z
        149031281
      ppf: 497
      ppct: 13
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Optimizing ANFIS using simulated annealing algorithm for classification of microarray gene expression cancer data.
      aug:
        au:
          Haznedar, Bulent
          Arslan, Mustafa Turan
          Kalinli, Adem
        affil: Department of Computer Engineering, Hasan Kalyoncu University, 27100, Gaziantep, Turkey
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N