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.