Title :
Predicting exchange rates using a fuzzy learning system
Author :
Li, T. ; Fang, Luyuan ; Guo, D. ; Klasa, S.
Author_Institution :
Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
Abstract :
A fuzzy learning system is used for predicting exchange rates. Our system combines expert knowledge and machine learning to achieve competent performance in various applications. The prediction result is quite accurate
Keywords :
electronic trading; expert systems; financial data processing; forecasting theory; foreign exchange trading; fuzzy logic; inference mechanisms; learning (artificial intelligence); uncertainty handling; accuracy; currency exchange; exchange rate prediction; expert knowledge; expert system; fuzzy learning system; fuzzy reasoning; machine learning; performance; Application software; Computer science; Exchange rates; Expert systems; Fuzzy reasoning; Fuzzy systems; Learning systems; Machine learning; Research and development; Sun;
Conference_Titel :
Computational Intelligence for Financial Engineering, 1995.,Proceedings of the IEEE/IAFE 1995
Conference_Location :
New York, NY
Print_ISBN :
0-7803-2145-6
DOI :
10.1109/CIFER.1995.495260
