DocumentCode
323373
Title
Forecasting financial time series with fuzzy neural networks
Author
Rast, Martin
Author_Institution
Math. Inst., Ludwig-Maximilians-Univ., Munchen, Germany
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
432
Abstract
The use of neural networks for financial applications is quite common. New approaches use advances in neural technology such as fuzzy neural networks to improve the results. In this paper, the application of fuzzy neural networks to a major financial application is presented: the forecasting of financial time series
Keywords
finance; financial data processing; forecasting theory; fuzzy neural nets; sensitivity analysis; time series; financial time series forecasting; fuzzy neural networks; Feedforward neural networks; Feedforward systems; Fuzzy neural networks; Fuzzy sets; Logistics; Network topology; Neural networks; Nonlinear equations; Testing; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672817
Filename
672817
Link To Document