Application of BPNN for Bankruptcy Prediction
Journal Title: The International Journal of Technological Exploration and Learning - Year 2013, Vol 2, Issue 2
Abstract
Bankruptcy prediction is widely studied all over the world as it caused severe impacts on the economy of a nation as it regulates the bank lending decisions and profitability. In the first place the paper throws light on the bankruptcy .in the other part it The Altman Model for prediction of financial bankruptcy has been considered in this work. The backpropagation neural networks been used to forecast the Z Score for the firms. The research work first estimates the internal parameters of the Z Score for a firm from 2001-2008 to the train the BPNN and uses the estimates of the year 2009 and 2010 values for the validation process. Finally it dwells to draw predictions for the period 2011- 2015 and emphasizes the growing role of BPNN application based Z Score computation of financial Bankruptcy.
Authors and Affiliations
Dr Roli Pradhan| Assistant Professor, Department of Humanities, Maulana Azad National Institute of Technology, Bhopal, India
Keywords
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