A Hybrid Model Combining a Gated Recurrent Unit Network Based on Variational Mode Decomposition with Error Correction for Stock Price Prediction
Author:
Affiliation:
1. College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China
Funder
NSFC
Excellent Graduate Students ‘Star of Innovation Project of Gansu Provincial Department of Education
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Information Systems,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/01969722.2022.2137634
Reference42 articles.
1. Predicting the direction of stock market prices using tree-based classifiers
2. Application of Markov Chain Model in the Stock Market Trend Analysis of Nepal
3. Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis
4. Financial time series forecasting model based on CEEMDAN and LSTM
5. A LSTM-based method for stock returns prediction: A case study of China stock market
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