DECISION SYSTEM FOR STOCK DATA FORECASTING BASED ON HOPFIELD ARTIFICIAL NEURAL NETWORK

Main Article Content

DOI

Michał Paluch

mpaluch@kis.p.lodz.pl

Lidia Jackowska-Strumiłło

lidia_js@kis.p.lodz.pl

Abstract

The paper describes a new method using Hopfield artificial neural network combined with technical analysis fractal analysis and feed-forward artificial neural networks for predicting share prices for a next day on a Stock Exchange. The developed method and networks are implemented in an Expert System, which is proposed as a valuable comprehensive, analytical tool. A new algorithm for artificial neural networks training and testing is also presented. It automatically chooses the best network structure, and the most important input parameters.

Keywords:

Hybrid intelligent system, Hopfield artificial neural network

References

Article Details

Paluch, M. ., & Jackowska-Strumiłło, L. (2016). DECISION SYSTEM FOR STOCK DATA FORECASTING BASED ON HOPFIELD ARTIFICIAL NEURAL NETWORK. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 6(2), 28–33. https://doi.org/10.5604/20830157.1201313