Title :
Application of fuzzy neural networks on financial problems
Author_Institution :
Math. Ins., Ludwig-Maximilians-Univ., Munchen, Germany
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;
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
DOI :
10.1109/NAFIPS.1997.624064
