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
Link To Document