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The application research of neural network and BP algorithm in stock price pattern classification and prediction
3 references·16 citing·56 second hop
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References

  • 2018Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models786 cited
  • 2018Investor Relations and Information Assimilation271 cited
  • 2018Is Sell‐Side Research More Valuable in Bad Times?264 cited

Cited by

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  • 2022Pearson Correlation Coefficient-Based Performance Enhancement of Broad Learning System for Stock Price Prediction146 cited
  • 2022Prediction of stock market index based on ISSA-BP neural network104 cited
  • 2021Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda103 cited
  • 2021Research on grain production efficiency in China’s main grain-producing areas from the perspective of grain subsidy88 cited
  • 2023Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression79 cited
  • 2021Stock Price Forecast Based on CNN-BiLSTM-ECA Model73 cited
  • 2021LSTM-based Deep Learning Model for Stock Prediction and Predictive Optimization Model64 cited
  • 2022Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images61 cited
  • 2023A novel interval dual convolutional neural network method for interval-valued stock price prediction

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57 cited
  • 2022Carbon price combination prediction model based on improved variational mode decomposition54 cited
  • 2023Research on Improved GRU-Based Stock Price Prediction Method54 cited
  • 2023Machine learning techniques for stock price prediction and graphic signal recognition52 cited
  • 2022A new decomposition ensemble model for stock price forecasting based on system clustering and particle swarm optimization51 cited
  • 2021Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm43 cited
  • 2022Prediction of SSE Shanghai Enterprises index based on bidirectional LSTM model of air pollutants42 cited