Title : ( The Classification of Iranian Banks Based on Artificial Neural Network (ANN) )
Authors: Mahdi Salehi , E. Torabi , J. Khaksar ,
Full TextAbstract
In this study, it is attempted to examine the banking practice in Iran based on new scientific methods. It is used the financial ratios demonstrating healthy or non-healthy of banks to assess the financial health of listed banks in Tehran Stock Exchange. The assessment of these ratios with use of Neural Network (NN) as a non-parametric method for modelling is recommended for presenting this model. Information about the financial health of banks could be effective on the decisions of different groups of banks’ financial reports users, including shareholders, auditors, stock exchange, central bank and etc.
Keywords
, Neural Network (NN), Artificial Neural Network (ANN), Multi-Layer Perceptron (MLP), classification
@inproceedings{paperid:1029380,
author = {Salehi, Mahdi and E. Torabi and J. Khaksar},
title = {The Classification of Iranian Banks Based on Artificial Neural Network (ANN)},
booktitle = {The Conference on Modern Management Sciences},
year = {2012},
location = {IRAN},
keywords = {Neural Network (NN); Artificial Neural Network (ANN); Multi-Layer Perceptron (MLP); classification},
}
%0 Conference Proceedings
%T The Classification of Iranian Banks Based on Artificial Neural Network (ANN)
%A Salehi, Mahdi
%A E. Torabi
%A J. Khaksar
%J The Conference on Modern Management Sciences
%D 2012
