A BP-LSTM trend forecast model for stock index
DOI:
Author:
Affiliation:

Clc Number:

O29

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
    Abstract:

    In this paper, according to the time series characteristics of financial data, such as stock index, stock price, etc, we introduce the Artificial Neural Network (ANN) and Recurrent Neural Network (RNN) in deep learning to stock index prediction and build a BP-LSTM model based on the Back Propagation (BP) neural network model and Long Short-Term Memory (LSTM) neural network model. Numerical analysis shows that the accuracy of our model is higher than that of the traditional machine learning models, and it also has some improvement compared with the ordinary LSTM model.

    Reference
    Related
    Cited by
Get Citation

Cite this article as: SUN Cun-Hao, HU Bing, ZOU Yu-Xuan. A BP-LSTM trend forecast model for stock index [J]. J Sichuan Univ: Nat Sci Ed, 2020, 57: 27.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:April 09,2019
  • Revised:April 22,2019
  • Adopted:April 24,2019
  • Online: January 10,2020
  • Published: