• DocumentCode
    2541949
  • Title

    Application of artificial neural network in social computing in the context of third world countries

  • Author

    Bayzid, Md Shamsuzzoha ; Iqbal, Anindya ; Hyder, Chowdhury Sayeed ; Irfan, Mohammad Tanvir

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    648
  • Lastpage
    653
  • Abstract
    In the last decade, applications associated with artificial neural network (ANN) has been gaining popularity in both the academic research and practitionerpsilas sectors. But unfortunately in underdeveloped countries this versatile tool has not yet been used. Here we consider some momentous sectors and explore the applicability of ANN in the context of third world countries. Here we explore the design of feed forward neural network for (1) assisting micro credit institutions to select appropriate locations to set up branches and (2) determining HIV risk of a locality. The simulation procedure and results are discussed accordingly.
  • Keywords
    feedforward neural nets; finance; social sciences computing; HIV risk; artificial neural network; feedforward neural network; microcredit institutions; social computing; third world countries; Application software; Artificial neural networks; Computer applications; Computer networks; Decision making; Finance; Forward contracts; Human immunodeficiency virus; Neural networks; Social network services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2008. ICECE 2008. International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4244-2014-8
  • Electronic_ISBN
    978-1-4244-2015-5
  • Type

    conf

  • DOI
    10.1109/ICECE.2008.4769290
  • Filename
    4769290