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

Michał  Paluch; Lidia Jackowska-Strumiłło

doi:10.5604/20830157.1201313

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Published: May 10, 2016

DOI: https://doi.org/10.5604/20830157.1201313

Issue Vol. 6 No. 2 (2016)

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INFORMATICS SYSTEM FOR CONCENTRATION STATE ANALYSIS ON THE BASIS OF A DEVICE OPERATING IN THE BRAIN – COMPUTER INTERFACE TECHNOLOGY
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DECISION SYSTEM FOR STOCK DATA FORECASTING BASED ON HOPFIELD ARTIFICIAL NEURAL NETWORK
Michał Paluch, Lidia Jackowska-Strumiłło

28-33
SIMULATION OF GRAVITATIONAL SOLIDS FLOW PROCESS AND ITS PARAMETERS ESTIMATION BY THE USE OF ELECTRICAL CAPACITANCE TOMOGRAPHY AND ARTIFICIAL NEURAL NETWORKS
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THEORETICAL ANALYSIS OF GENERATION AND COMPENSATION OF REACTIVE POWER IN PHOTOVOLTAIC POWER PLANTS
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DOI

https://doi.org/10.5604/20830157.1201313

Authors

Michał Paluch

mpaluch@kis.p.lodz.pl

Lodz University of Technology, Institute of Applied Computer Science, Poland

Lidia Jackowska-Strumiłło

lidia_js@kis.p.lodz.pl

Lodz University of Technology, Institute of Applied Computer Science, Poland

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

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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

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

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