Title: Prediction of corporate financial health by Artificial Neural Network
Authors: Sumit Chakraborty, Sushil K. Sharma
Addresses: Indian Institute of Management Calcutta, Joka, Diamond Harbour Road, Kolkata – 700104, West Bengal, India. ' Miller College of Business, Ball State University, Muncie IN 47306, USA
Abstract: Neural networks are perhaps the most significant forecasting tool to be applied to the financial markets in recent years and are gaining ascendancy because of reports of their success. This paper checks out the classification capability of Radial Basis Function Networks (RBF), Multi-Layer Perceptrons (MLPs) with and without Principal Component Analysis (PCA), Self-Organizing Feature Maps (SOFM) with MLP and Support Vector Machine (SVM) neural architecture for prediction of the financial health of firms.
Keywords: artificial neural networks; ANNs; financial health; corporate failure; prediction; forecasting tools; electronic finance.
International Journal of Electronic Finance, 2007 Vol.1 No.4, pp.442 - 459
Published online: 21 Mar 2007 *
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