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Application of Neural Networks in Prediction of Stocks

Vinod Kumar Pathak, Abhinav Malik

Abstract


This paper describes the comparison of different Neural Network types for stock prediction. The prediction was carried out by Modular Neural Networks, ARIMA-based Neural Networks, Genetic algorithm, Amnestic Neural Network, Multi-Branch Neural Networks etc. Comparative analysis of all these types of Neural Networks is performed in this paper, as well as future work

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