CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
Reseach Article

Classification of Saving Services by ANN

Published on April 2012 by Richa Sapra, Babita Pandey
International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
Foundation of Computer Science USA
IRAFIT - Number 6
April 2012
Authors: Richa Sapra, Babita Pandey
7e31cdb0-89c1-4d17-8c1f-1f5d884597c2

Richa Sapra, Babita Pandey . Classification of Saving Services by ANN. International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012). IRAFIT, 6 (April 2012), 17-19.

@article{
author = { Richa Sapra, Babita Pandey },
title = { Classification of Saving Services by ANN },
journal = { International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012) },
issue_date = { April 2012 },
volume = { IRAFIT },
number = { 6 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 17-19 },
numpages = 3,
url = { /proceedings/irafit/number6/5888-1044/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%A Richa Sapra
%A Babita Pandey
%T Classification of Saving Services by ANN
%J International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%@ 0975-8887
%V IRAFIT
%N 6
%P 17-19
%D 2012
%I International Journal of Computer Applications
Abstract

In today's modern life style investment of money plays very important role. Savings were available for use whenever needed, but it also involved the risk of loss by theft, robbery and other accidents. This paper presents the classification of available saving services for those users, who want to invest their money. One can invest the money after consulting the post office employees or going through the features of the available saving services. But most of the clients face the problem of selecting the best saving service for investment of their money as number of saving services exist. Moreover, it is a time consuming process to select one of the best saving service by the use of traditional method. In this paper, an ANN based method has been developed for the selection of best saving service based on some quantitative and qualitative parameters. This method is very user friendly and less time consuming.

References
  1. Haraldsson, H., Edenbrandt, L., & Ohlsson, M. 2004 Detecting acute myocardial infarction in the 12-lead ECG using hermite expansions and neural networks: Artificial Intelligence in Medicine
  2. http://www.nos.org/Secbuscour/15.pdf
  3. B.M.M. Dissananayake, C. H. Hendahewa, A. S. Karunananda 2007. Artificial Neural Network Approach to Credit Risk Assessment
  4. Guoyin Jiang, 2007. Research on Credit Rating Method Based on BP NN
  5. http://oracledbpro.wordpress.com/2011/10/27/comparison-between-post-office-mis-nsc-ppf-and-kvp/
  6. http://www.which.co.uk/money/savings- and-investments/guides/finding-the-best-savings-account/5-steps-to-finding-the-best-savings-account/).
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Network Saving Services Classification