Title :
Handling uncertainty in finance applications using soft computing
Author :
Lee, Michael A. ; Smith, Michael H.
Author_Institution :
Div. of Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
We identify applications of soft computing techniques to finance applications. The disadvantages and advantages of techniques used in these applications are outlined and a novel approach is proposed. The proposed system focuses on the issue of learning representations and adaptive learning algorithms through the combination of neural, fuzzy, and evolutionary algorithm techniques
Keywords :
financial data processing; fuzzy logic; genetic algorithms; knowledge representation; learning (artificial intelligence); neural nets; uncertainty handling; adaptive learning algorithms; evolutionary algorithm techniques; finance applications; fuzzy techniques; learning representations; neural techniques; soft computing; uncertainty handling; Application software; Computer applications; Computer crime; Computer science; Finance; Fuzzy systems; Neural networks; Stock markets; Systems engineering and theory; Uncertainty;
Conference_Titel :
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-7126-2
DOI :
10.1109/ISUMA.1995.527726
