Stock prediction using deep learning

Predicting stock market index using fusion of machine learning techniques

(2015) Jigar Patel et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques

(2015) Jigar Patel et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning Discriminative Hierarchical Features for Object Recognition

(2014) Zhen Zuo et al.   IEEE SIGNAL PROCESSING LETTERS

Time series forecasting using a deep belief network with restricted Boltzmann machines

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

Using artificial neural network models in stock market index prediction

(2011) Erkam Guresen et al.   EXPERT SYSTEMS WITH APPLICATIONS

A method for automatic stock trading combining technical analysis and nearest neighbor classification

(2010) Lamartine Almeida Teixeira et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm

(2010) Wei Shen et al.   KNOWLEDGE-BASED SYSTEMS

Deep Belief Networks Are Compact Universal Approximators

(2010) Nicolas Le Roux et al.   NEURAL COMPUTATION

Surveying stock market forecasting techniques – Part II: Soft computing methods

(2008) George S. Atsalakis et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep, Narrow Sigmoid Belief Networks Are Universal Approximators

(2008) Ilya Sutskever et al.   NEURAL COMPUTATION

Application of wrapper approach and composite classifier to the stock trend prediction

(2007) C HUANG et al.   EXPERT SYSTEMS WITH APPLICATIONS