Applications of deep learning in stock market prediction: Recent progress

Author:

Jiang Weiwei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference207 articles.

1. de A. Araújo, R., Nedjah, N., Oliveira, A.L., & de L. Meira, S.R. (2019). A deep increasing–decreasing-linear neural network for financial time series prediction. Neurocomputing, 347, 59 – 81. url:http://www.sciencedirect.com/science/article/pii/S0925231219303194. doi:https://doi.org/10.1016/j.neucom.2019.03.017.

2. Genetic algorithms and darwinian approaches in financial applications: A survey;Aguilar-Rivera;Expert Systems with Applications,2015

3. Deep learning for stock prediction using numerical and textual information;Akita,2016

4. Forecasting of bahrain stock market with deep learning: Methodology and case study;Al-Thelaya,2019

5. Introduction to machine learning;Alpaydin,2014

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