Article ID Journal Published Year Pages File Type
10347308 Computers & Operations Research 2005 15 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
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