In Research of Optimal Model for Predicting Bankruptcy
Science Road Journal, Volume 1, Issue 3, 2013
11 Pages Posted: 13 Jul 2014
Date Written: September 10, 2013
In this study we tried to compare two models in order to identify optimal neural networks models in predicting bankruptcy. Multi-layered perceptron (MLP) because of easy training and high efficiency and also integrated multi-layered perceptron (most used neural network in predicting bankruptcy) with new imperialist competitive algorithm (MLP-ICA) are used in this study. Research sample consist of 70 bankrupts and non-bankrupt company in 2001-2009 and in listed firms of Tehran Stock Exchange. Results indicate that notwithstanding their good performance, they aren’t any significant difference in their performance.
Keywords: Bankruptcy, Neural Network, imperialist competitive algorithm
JEL Classification: C45, G33
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