Intelligent recommendation algorithm for social networks based on improving a generalized regression neural network.

Saved in:
Bibliographic Details
Title: Intelligent recommendation algorithm for social networks based on improving a generalized regression neural network.
Authors: Wu, Gongcai1 2005010011@hzvtc.edu.cn
Source: Electronic Research Archive. Jul2024, Vol. 32 Issue 7, p1-20. 20p.
Database: Mathematics Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: msf
DbLabel: Mathematics Source
An: 178999812
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Intelligent recommendation algorithm for social networks based on improving a generalized regression neural network.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Gongcai%22">Wu, Gongcai</searchLink><relatesTo>1</relatesTo><i> 2005010011@hzvtc.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Electronic+Research+Archive%22">Electronic Research Archive</searchLink>. Jul2024, Vol. 32 Issue 7, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=178999812
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3934/era.2024197
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 1
    Titles:
      – TitleFull: Intelligent recommendation algorithm for social networks based on improving a generalized regression neural network.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wu, Gongcai
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 26881594
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Electronic Research Archive
              Type: main
ResultId 1