Prediction of corporate financial health by Artificial Neural Network
by Sumit Chakraborty, Sushil K. Sharma
International Journal of Electronic Finance (IJEF), Vol. 1, No. 4, 2007

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.

Online publication date: Wed, 21-Mar-2007

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