DocumentCode
1627199
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
fYear
1995
Firstpage
384
Lastpage
389
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISUMA.1995.527726
Filename
527726
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