Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10347308 | Computers & Operations Research | 2005 | 15 Pages |
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)
Authors
Liang Liang, Desheng Wu,