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