article Open AccessTop 1% cited
Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies
Expert Systems with Applications · 2017 · Vol. 83 · pp. 187–205
Eunsuk Chong(Seoul National University)Chulwoo Han(Durham University)Frank C. Park✉(Seoul National University)
Stock Market Forecasting MethodsForecasting Techniques and ApplicationsFinancial Markets and Investment StrategiesComputer scienceAutoencoderArtificial intelligenceDeep learningStock marketMachine learningAutoregressive modelArtificial neural networkStock market predictionCovariance
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Expert Systems with Applications · 2010 · 851 citations
Surveying stock market forecasting techniques – Part II: Soft computing methods
Expert Systems with Applications · 2008 · 820 citations
Support vector regression with chaos-based firefly algorithm for stock market price forecasting
Applied Soft Computing · 2012 · 459 citations
A novel hybridization of artificial neural networks and ARIMA models for time series forecasting
Applied Soft Computing · 2010 · 804 citations
Using artificial neural network models in stock market index prediction
Expert Systems with Applications · 2011 · 774 citations
Reducing the Dimensionality of Data with Neural Networks
Science · 2006 · 20,627 citations
Multi-column deep neural network for traffic sign classification
Neural Networks · 2012 · 1,034 citations
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