DocumentCode :
3293141
Title :
A structured approach to neural networks in bankruptcy prediction
Author :
Almeida, Fernando C.
Author_Institution :
FEARP, Sao Paulo Univ., Brazil
fYear :
1997
fDate :
3-5 Dec 1997
Firstpage :
1
Lastpage :
8
Abstract :
This paper explores the difficulties as well as a structured approach in developing neural networks in management, more specifically in bankruptcy prediction. It distinguishes the potential strategic interest in using neural networks in a firm as a decision support tool. Neural networks are developed and tested through the exploring of the French industry of merchandise transportation. Through the construction of an experimental plan neural networks are tested and compared with logistic regression
Keywords :
backpropagation; decision support systems; feedforward neural nets; financial data processing; backpropagation; bankruptcy prediction; decision support systems; feedforward neural networks; industry; logistic regression; Backpropagation; Decision support systems; Information systems; Information technology; Intelligent networks; Logistics; Marketing and sales; Neural networks; Testing; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1997. Proceedings., IVth Brazilian Symposium on
Conference_Location :
Goiania
Print_ISBN :
0-8186-8070-9
Type :
conf
DOI :
10.1109/SBRN.1997.645840
Filename :
645840
Link To Document :
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