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Hybrid system prediction for the stock market: The case of transitional markets
2017
Industrija
The subject of this paper is the creation and testing of an enhanced fuzzy neural network backpropagation model for the prediction of stock market indexes, including the comparison with the traditional neural network backpropagation model. The objective of the research is to gather information concerning the possibilities of using the enhanced fuzzy neural network backpropagation model for the prediction of stock market indexes focusing on transitional markets. The methodology used involves the
doi:10.5937/industrija45-11052
fatcat:z5oiqfdlkjfv3aant4iactyhdu