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
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;
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
DOI :
10.1109/ICECE.2008.4769290