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A hybrid optimized error correction system for time series forecasting
16 references·0 citing·33 second hop
A hybrid optimized error correction system for time series forecasting (2019)A hybrid optimized error correction syste…A hybrid ETS–ANN model for time series forecasting (2017)A hybrid ETS–ANN model for ti…Time Series Forecasting Using Hybrid ARIMA and ANN Models Based on DWT Decomposition (2015)Time Series Forecasting Using…A hybrid evolutionary decomposition system for time series forecasting (2015)A hybrid evolutionary decompo…Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Comparison of ARIMA and Artif…A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data (2014)A moving-average filter based…An ARIMA‐ANN Hybrid Model for Time Series Forecasting (2013)An ARIMA‐ANN Hybrid Model for…A new linear & nonlinear artificial neural network model for time series forecasting (2012)A new linear & nonlinear arti…A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)A novel hybridization of arti…MLP ensembles improve long term prediction accuracy over single networks (2009)MLP ensembles improve long te…Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Comparison of ARIMA, neural networks and hybrid models in time series: tourist arrival forecasting (2006)Comparison of ARIMA, neural n…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…An investigation of neural networks for linear time-series forecasting (2001)An investigation of neural ne…A simulation study of artificial neural networks for nonlinear time-series forecasting (2001)A simulation study of artific…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)A systematic review of fundamental and technical analysis of stock market predictions (2019)A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)Time Series Analysis, Forecasting and Control. (1971)Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)Autoregressive models in environmental forecasting time series: a theoretical and application review (2023)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)Neural network ensemble operators for time series forecasting (2014)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Another look at measures of forecast accuracy (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)An intelligent hybridization of ARIMA with machine learning models for time series forecasting (2019)Machine Learning for Quantitative Finance Applications: A Survey (2019)A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems (2024)Principles of Forecasting (2001)25 years of time series forecasting (2006)Oil price forecasting using a hybrid model (2018)Hybrid structures in time series modeling and forecasting: A review (2019)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Tie Series Analysis, Forecasting, and Control (1995)Unit root tests in panel data: asymptotic and finite-sample properties (2002)
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References

  • 1971Time Series Analysis Forecasting and Control.6,904 cited
  • 1978Time Series Analysis: Forecasting and Control.5,395 cited
  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,583 cited
  • 2008Automatic Time Series Forecasting: The forecast Package for R3,665 cited
  • 2010A novel hybridization of artificial neural networks and ARIMA models for time series forecasting825 cited
  • 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction579 cited
  • 2014A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data505 cited
  • 2001A simulation study of artificial neural networks for nonlinear time-series forecasting336 cited
  • 2015Time Series Forecasting Using Hybrid ARIMA and ANN Models Based on DWT Decomposition287 cited
  • 2017A hybrid ETS–ANN model for time series forecasting217 cited
  • 2001An investigation of neural networks for linear time-series forecasting194 cited
  • 2013An ARIMA‐ANN Hybrid Model for Time Series Forecasting172 cited
  • 2012A new linear & nonlinear artificial neural network model for time series forecasting133 cited
  • 2006Comparison of ARIMA, neural networks and hybrid models in time series: tourist arrival forecasting120 cited

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2015
A hybrid evolutionary decomposition system for time series forecasting
81 cited
  • 2009MLP ensembles improve long term prediction accuracy over single networks56 cited
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