Analysis of hybrid soft and hard computing techniques for forex monitoring systems

IEEE International Conference on Fuzzy Systems

Volumn 2, Issue , 2002, Pages 1616-1621

  Abraham, Ajith ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

FOREIGN CURRENCY EXCHANGE; FOREX MONITORING SYSTEMS; HARD COMPUTING; SOFT COMPUTING;

ALGORITHMS; COMMERCE; ECONOMICS; FINANCE; FUZZY SETS; INFERENCE ENGINES; MATHEMATICAL MODELS; MONITORING; NEURAL NETWORKS;

ARTIFICIAL INTELLIGENCE;

EID: 0036454206     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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6. Introduction to Forex Market. http://www.forexcapital.com, Accessed on 22 December 2001.
7. Jang S R, Sun C T and Mizutani E, Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, US, Prentice Hall Inc., 1997.
8. Moller A F, A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning, Neural Networks. 6:525-533, 1993.
9. Steinberg D, Colla, P. L, MARS User Guide, San Diego, CA: Salford Systems, 1999.
10. Steinberg D. and Colla, P. L., CART: Tree-Structured Nonparametric Data Analysis, San Diego, CA: Salford Systems, 1995.
11. Zadeh L A, Roles of Soft Computing and Fuzzy Logic in the Conception, Design and Deployment of Information/Intelligent Systems, Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications, O Kaynak, LA Zadeh, B Turksen, IJ Rudas (Eds.), pp. 1-9, 1998.