Research on Stock Forecasting Based on GPU and Complex-Valued Neural Network
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[1] Yuehui Chen,et al. Hybrid-Learning Methods for Stock Index Modeling , 2006 .
[2] Hongyan Cui,et al. Big Data: A Parallel Particle Swarm Optimization-Back-Propagation Neural Network Algorithm Based on MapReduce , 2016, PloS one.
[3] Nikil D. Dutt,et al. A GPU-accelerated cortical neural network model for visually guided robot navigation , 2015, Neural Networks.
[4] Yuehui Chen,et al. Time-series forecasting using a system of ordinary differential equations , 2011, Inf. Sci..
[5] Martin Lilleeng Sætra,et al. Graphics processing unit (GPU) programming strategies and trends in GPU computing , 2013, J. Parallel Distributed Comput..
[6] Hongjun Guan,et al. A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network , 2018, PloS one.
[7] Victor Chang,et al. An innovative neural network approach for stock market prediction , 2018, The Journal of Supercomputing.
[8] Takashi Tanaka,et al. Computer generated holography using a graphics processing unit. , 2006, Optics express.
[9] E. Fama. The Behavior of Stock-Market Prices , 1965 .
[10] Shaohui Mei,et al. Optimizing Hopfield Neural Network for Spectral Mixture Unmixing on GPU Platform , 2014, IEEE Geoscience and Remote Sensing Letters.
[11] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[12] S. Ross,et al. Economic Forces and the Stock Market , 1986 .