Research Based on Stock Predicting Model of Neural Networks Ensemble Learning
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Qi Xie | Gengguo Cheng | Xu Xu | Zixuan Zhao
[1] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[2] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[3] Algorithmic Trading Risk , 2014 .
[4] Snehanshu Saha,et al. Predicting the direction of stock market prices using random forest , 2016, ArXiv.
[5] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[6] A. Lo,et al. A Non-Random Walk Down Wall Street , 1999 .
[7] Adriano C. M. Pereira,et al. Stock market's price movement prediction with LSTM neural networks , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[8] Franklin Allen,et al. Using genetic algorithms to find technical trading rules , 1999 .
[9] Yue Zhang,et al. Deep Learning for Event-Driven Stock Prediction , 2015, IJCAI.
[10] Kai Chen,et al. A LSTM-based method for stock returns prediction: A case study of China stock market , 2015, 2015 IEEE International Conference on Big Data (Big Data).
[11] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[12] Kyoung-jae Kim,et al. Financial time series forecasting using support vector machines , 2003, Neurocomputing.
[13] E. Fama. EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* , 1970 .
[14] H. White,et al. Economic prediction using neural networks: the case of IBM daily stock returns , 1988, IEEE 1988 International Conference on Neural Networks.
[15] Berkman Sahiner,et al. Dual system approach to computer-aided detection of breast masses on mammograms. , 2006, Medical physics.
[16] Lars Kai Hansen,et al. Neural Network Ensembles , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[17] M. Osborne. Brownian Motion in the Stock Market , 1959 .