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- W2511019845 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." @default.
- W2511019845 created "2016-09-16" @default.
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- W2511019845 date "2016-05-10" @default.
- W2511019845 modified "2023-09-26" @default.
- W2511019845 title "DECISION SYSTEM FOR STOCK DATA FORECASTING BASED ON HOPFIELD ARTIFICIAL NEURAL NETWORK" @default.
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- W2511019845 doi "https://doi.org/10.5604/20830157.1201313" @default.
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