DocumentCode
2621559
Title
Application of fuzzy neural networks on financial problems
Author
Rast, Martin
Author_Institution
Math. Ins., Ludwig-Maximilians-Univ., Munchen, Germany
fYear
1997
fDate
21-24 Sep 1997
Firstpage
347
Lastpage
349
Abstract
For two financial applications-price forecasting and customer credit rating-the fuzzy neural network approach improves the network quality. This type of network faces less problems than the classical network approach. In this paper some practical viewpoints are presented, with focus on the forecasting of time series
Keywords
decision support systems; financial data processing; forecasting theory; fuzzy neural nets; time series; DSS; customer credit rating; financial problems; fuzzy neural networks; price forecasting; time series forecasting; Costs; Economic indicators; Fuzzy logic; Fuzzy neural networks; History; Network topology; Neural networks; Production; Sensitivity analysis; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American
Conference_Location
Syracuse, NY
Print_ISBN
0-7803-4078-7
Type
conf
DOI
10.1109/NAFIPS.1997.624064
Filename
624064
Link To Document