articleTop 1% cited
Financial time series forecasting model based on CEEMDAN and LSTM
Physica A Statistical Mechanics and its Applications · 2018 · Vol. 519 · pp. 127–139
Jian Cao(Sichuan University)Zhi Li✉(Sichuan University)Jian Li(Chengdu University of Information Technology)
Stock Market Forecasting MethodsEnergy Load and Power ForecastingCurrency Recognition and DetectionHilbert–Huang transformComputer scienceSupport vector machineSeries (stratigraphy)PerceptronTime seriesStock marketArtificial intelligenceMultilayer perceptronMode (computer interface)
Citations
673
FWCI
36.32
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References
42
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References
Learning representations by back-propagating errors
Nature · 1986 · 30,045 citations
Support vector regression with chaos-based firefly algorithm for stock market price forecasting
Applied Soft Computing · 2012 · 459 citations
Using artificial neural network models in stock market index prediction
Expert Systems with Applications · 2011 · 774 citations
Long Short-Term Memory
Neural Computation · 1997 · 95,078 citations
Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index
Expert Systems with Applications · 2000 · 758 citations
Time series forecasting using a deep belief network with restricted Boltzmann machines
Neurocomputing · 2014 · 522 citations
Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm
Applied Soft Computing · 2010 · 400 citations
Learning long-term dependencies with gradient descent is difficult
IEEE Transactions on Neural Networks · 1994 · 8,303 citations
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