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Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting

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References

1994Comparing Predictive Accuracy5,495 cited
1978Time Series Analysis: Forecasting and Control.5,299 cited
1995Comparing Predictive Accuracy5,214 cited
2009Time series analysis forecasting and control2,585 cited
2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
2011Using artificial neural network models in stock market index prediction787 cited
2011Forecasting stock indices with back propagation neural network487 cited
1996Neural Network Models for Time Series Forecasts468 cited
2011Stock index forecasting based on a hybrid model377 cited
2008Evolving Least Squares Support Vector Machines for Stock Market Trend Mining218 cited
2017Forecasting financial time series volatility using Particle Swarm Optimization trained Quantile Regression Neural Network189 cited
2019Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm189 cited
2015Forecasting stock market indexes using principle component analysis and stochastic time effective neural networks163 cited

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