Open Access 
Downloads
Download data is not yet available.
Abstract
Paper deals with the application of machine learning tools in Financial Cybernetics. The use of intelligent systems in foreacast financial application as e.g. stock market predictions is very actual topic. Model used Adaptive Network Based Fuzzy Inference System. Experiment results on New Jork Market Stock Exchange New Jork (NYSE) are promising and there are only computational limitations for this goal.
Author's Affiliation
Article Details
Issue: Vol 4 No 8&9 (2001)
Page No.: 14-22
Published: Sep 30, 2001
Section: Article
DOI: https://doi.org/10.32508/stdj.v4i8&9.3510
Copyright Info
Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Hai Bang, T. (2001). APPLICATION ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM FOR PROCESSING KNOWLEDGE IN STOCK MARKET PREDICTIONS. VNUHCM Journal of Science and Technology Development, 4(8&9), 14-22. https://doi.org/https://doi.org/10.32508/stdj.v4i8&9.3510
Download Citation
Cited by
Article Statistics
HTML = 1196 times
Download PDF = 467 times
Total = 467 times
Download PDF = 467 times
Total = 467 times
