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RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention.

Hongying ZhengZhiqiang ZhouJianyong Chen
Published in: Comput. Intell. Neurosci. (2021)
Keyphrases
  • random noise
  • main contribution
  • learning algorithm
  • multiscale
  • conceptual framework
  • neural network
  • social networks
  • database systems
  • expert systems
  • prediction algorithm
  • low signal to noise ratio
  • framework enables