Copyright © 2003 Published by Elsevier Ltd.
An application of pattern recognition on scoring Chinese corporations financial conditions based on backpropagation neural network
Available online 14 November 2003.
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Abstract
The paper follows three parts on the whole. The first part reviews the literature on financial diagnosis and the appropriate measures to be currently used. Thus the research gaps in the fields are highlighted. Next part details the variables and samples selection, data, analysis and results applying to scoring financial conditions of a Chinese corporation. By using pattern recognition theory, a scoring model is developed to analyze corporate financial conditions by backpropagation neural networks. It has been proved to be better than ordinary BPNN and traditional multivariate discriminant analysis. Finally, conclusions are presented.
Author Keywords: Pattern recognition; Backpropagation neural network; Multivariate discriminant analysis; Financial diagnosis







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