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

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.

Authors and Affiliations

Michał Paluch, Lidia Jackowska-Strumiłło

Keywords

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  • EP ID EP81461
  • DOI -
  • Views 118
  • Downloads 0

How To Cite

Michał Paluch, Lidia Jackowska-Strumiłło (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://europub.co.uk./articles/-A-81461