Study on stock price prediction based on BP Neural Network

@article{Ma2010StudyOS,
  title={Study on stock price prediction based on BP Neural Network},
  author={Weimin Ma and Yingying Wang and Ningfang Dong},
  journal={2010 IEEE International Conference on Emergency Management and Management Sciences},
  year={2010},
  pages={57-60}
}
In this paper, two kinds of methods, namely additional momentum method and self-adaptive learning rate adjustment method, are used to improve the BP algorithm. Considering the diversity of factors which affect stock prices, Single-input and Multi-input Prediction Model (SIPM and MIPM) are established respectively to implement short-term forecasts for SDIC Electric Power (600886) shares and Bank of China (601988) shares in 2009. Experiments indicate that the improved BP model has superior… CONTINUE READING

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