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

Related Articles

METHODS FOR DETERMINING THE STATE-OF-CHARGE OF BATTERIES USED IN ELECTRIC VEHICLES, MOBILE DEVICES, AND AT LABORATORY

State-of-charge of battery is a very important parameter for any electrical vehicle or mobile device user. It allows estimating the time range and in the case of electric vehicles available distance range. The paper pres...

ANALIZA WPŁYWU GĘSTOŚCI SIATKI NUMERYCZNEJ NA WYNIKI SYMULACJI ŚCIEŻKI WIROWEJ VON KARMANA

Praca zawiera badania numeryczne polegające na symulacji ścieżki wirowej von Karmana. Znajomość ścieżki wirowej stanowi istotne zagadnienie w projektowaniu przepływomierzy typu vortex. Jednym z istotnych elementów w symu...

SLUG FLOW VELOCITY ESTIMATION DURING PNEUMATIC CONVEYING OF BULK SOLID MATERIALS BASED ON IMAGE PROCESSING TECHNIQUES

The article presents the use of fast cameras and image processing and analysis methods to determine the velocity of pneumatic transport of bulk material. The presented solution is dedicated to the analysis of dense flow...

DATA REDUCTION VERSUS FEATURE SELECTION IN APPLICATION OF DAILY MAXIMUM POWER LOAD FORECASTING

Load forecasting task of small energetic region is a difficult problem due to high variability of power consumption. The accurate forecast of the power in the next hours is very important from the economic point of view....

ESTYMACJA STANU W SIECIACH ELEKTROENERGETYCZNYCH NAJWYŻSZYCH NAPIĘĆ

Artykuł jest poświęcony praktycznym problemom estymacji wektora stanu systemu elektroenergetycznego. Przedstawia zarówno ogólny zarysteoretyczny dotyczący problematyki estymacji, jak i przykładową konfigurację zbudowaną...

Download PDF file
  • EP ID EP81461
  • DOI -
  • Views 106
  • 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