Conference
View in EDS

Artificial neural networks for identifying the signals of multivariate EWMA control charts

Bibliographic Details
Title: Artificial neural networks for identifying the signals of multivariate EWMA control charts
Authors: Aparisi, Francisco, Carrion, Andres
Source: 2010 10th International Conference on Intelligent Systems Design and Applications Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on. :427-431 Nov, 2010
Relation: 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA)
Database: IEEE Xplore Digital Library
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://login.libproxy.scu.edu/login?url=https://ieeexplore.ieee.org/document/5687226
    Name: EDS - IEEE (s8985755)
    Category: fullText
    Text: Check IEEE Xplore for full text
    MouseOverText: Check IEEE Xplore for full text. A new window will open.
  – Url: https://resolver.ebsco.com/c/xy5jbn/result?sid=EBSCO:edseee&genre=book&issn=21647143&ISBN=9781424481347&volume=&issue=&date=&spage=427&pages=427-431&title=2010 10th International Conference on Intelligent Systems Design and Applications, Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on&atitle=Artificial%20neural%20networks%20for%20identifying%20the%20signals%20of%20multivariate%20EWMA%20control%20charts&aulast=Aparisi%2C%20Francisco&id=DOI:10.1109/ISDA.2010.5687226
    Name: Full Text Finder (for New FTF UI) (s8985755)
    Category: fullText
    Text: Find It @ SCU Libraries
    MouseOverText: Find It @ SCU Libraries
Header DbId: edseee
DbLabel: IEEE Xplore Digital Library
An: edseee.5687226
RelevancyScore: 961
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 961.457275390625
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Artificial neural networks for identifying the signals of multivariate EWMA control charts
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Aparisi%2C+Francisco%22">Aparisi, Francisco</searchLink><br /><searchLink fieldCode="AR" term="%22Carrion%2C+Andres%22">Carrion, Andres</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: 2010 10th International Conference on Intelligent Systems Design and Applications Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on. :427-431 Nov, 2010
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA)
PLink https://login.libproxy.scu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edseee&AN=edseee.5687226
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/ISDA.2010.5687226
    PhysicalDescription:
      Pagination:
        PageCount: 5
        StartPage: 427
    Titles:
      – TitleFull: Artificial neural networks for identifying the signals of multivariate EWMA control charts
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Aparisi, Francisco
      – PersonEntity:
          Name:
            NameFull: Carrion, Andres
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Type: published
              Y: 2010
          Identifiers:
            – Type: isbn-print
              Value: 9781424481347
            – Type: isbn-print
              Value: 9781424481354
            – Type: isbn-print
              Value: 9781424481361
            – Type: issn-print
              Value: 21647143
            – Type: issn-print
              Value: 21647151
            – Type: issn-locals
              Value: edseee.IEEEConferenc
          Titles:
            – TitleFull: 2010 10th International Conference on Intelligent Systems Design and Applications, Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
              Type: main
ResultId 1