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An ARIMA‐ANN Hybrid Model for Time Series Forecasting
15 references·16 citing·32 second hop
An ARIMA‐ANN Hybrid Model for Time Series Forecasting (2013)An ARIMA‐ANN Hybrid Model for Time Series…Business Intelligence for Enterprise Systems: A Survey (2012)Business Intelligence for Ent…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Stock market trend prediction using ARIMA-based neural networks (2002)Stock market trend prediction…Combining neural network model with seasonal time series ARIMA model (2002)Combining neural network mode…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Forecasting S&P 500 stock index futures with a hybrid AI system (1998)Forecasting S&P 500 stock ind…A comparison of artificial neural network and time series models for forecasting commodity prices (1996)A comparison of artificial ne…Feedforward Neural Nets as Models for Time Series Forecasting (1993)Feedforward Neural Nets as Mo…To combine or not to combine? issues of combining forecasts (1992)To combine or not to combine?…Combining forecasts: A review and annotated bibliography (1990)Combining forecasts: A review…Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…The Combination of Forecasts (1969)The Combination of ForecastsCombining Three Estimates of Gross Domestic Product (1968)Combining Three Estimates of …Data-driven stock forecasting models based on neural networks: A review (2024)Data-driven stock forecasting…A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems (2024)A Review of Time-Series Forec…Office property price index forecasting using neural networks (2023)Office property price index f…Forecasting volatility by using wavelet transform, ARIMA and GARCH models (2023)Forecasting volatility by usi…Stock Market Analysis and Prediction for Nifty50 using LSTM Deep Learning Approach (2022)Stock Market Analysis and Pre…Real-world model for bitcoin price prediction (2022)Real-world model for bitcoin …Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model (2022)Demand forecasting model for …Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods (2021)Time Series Forecasting of Pr…Improving Accuracy in Predicting City-Level Construction Cost Indices by Combining Linear ARIMA and Nonlinear ANNs (2021)Improving Accuracy in Predict…Forecasting of Sunspot Time Series Using a Hybridization of ARIMA, ETS and SVM Methods (2021)Forecasting of Sunspot Time S…Improving DWT-RNN model via B-spline wavelet multiresolution to forecast a high-frequency time series (2019)Improving DWT-RNN model via B…An Application of a Three‐Stage XGBoost‐Based Model to Sales Forecasting of a Cross‐Border E‐Commerce Enterprise (2019)An Application of a Three‐Sta…A least squares-based parallel hybridization of statistical and intelligent models for time series forecasting (2018)A least squares-based paralle…A comparative study of series arima/mlp hybrid models for stock price forecasting (2018)A comparative study of series…Intelligent Sales Prediction for Pharmaceutical Distribution Companies: A Data Mining Based Approach (2014)Intelligent Sales Prediction …Introduction: Systems Science in Industrial Sectors (2013)Introduction: Systems Science…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Expert judgment: Some necessary conditions and an example. 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this work references cited by second hop

References

  • 1971Time Series Analysis Forecasting and Control.6,714 cited
  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1969The Combination of Forecasts3,194 cited
  • 1989Combining forecasts: A review and annotated bibliography2,170 cited
  • 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition1,465 cited
  • 1990Combining forecasts: A review and annotated bibliography1,465 cited
  • 1993Feedforward Neural Nets as Models for Time Series Forecasting378 cited
  • 2002Combining neural network model with seasonal time series ARIMA model345 cited
  • 1996A comparison of artificial neural network and time series models for forecasting commodity prices293 cited
  • 2012Business Intelligence for Enterprise Systems: A Survey254 cited
  • 1998Forecasting S&P 500 stock index futures with a hybrid AI system222 cited
  • 1992To combine or not to combine? issues of combining forecasts222 cited
  • 2002Stock market trend prediction using ARIMA-based neural networks183 cited
  • 1968Combining Three Estimates of Gross Domestic Product122 cited

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  • 2024Data-driven stock forecasting models based on neural networks: A review120 cited
  • 2024A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems119 cited
  • 2018A comparative study of series arima/mlp hybrid models for stock price forecasting109 cited
  • 2019An Application of a Three‐Stage XGBoost‐Based Model to Sales Forecasting of a Cross‐Border E‐Commerce Enterprise93 cited
  • 2021Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods88 cited
  • 2013Introduction: Systems Science in Industrial Sectors80 cited
  • 2022Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model79 cited
  • 2019Improving DWT-RNN model via B-spline wavelet multiresolution to forecast a high-frequency time series76 cited
  • 2022Stock Market Analysis and Prediction for Nifty50 using LSTM Deep Learning Approach75 cited
  • 2021Improving Accuracy in Predicting City-Level Construction Cost Indices by Combining Linear ARIMA and Nonlinear ANNs65 cited
  • 2022Real-world model for bitcoin price prediction62 cited
  • 2023Office property price index forecasting using neural networks56 cited
  • 2014Intelligent Sales Prediction for Pharmaceutical Distribution Companies: A Data Mining Based Approach53 cited
  • 2021Forecasting of Sunspot Time Series Using a Hybridization of ARIMA, ETS and SVM Methods45 cited
  • 2018A least squares-based parallel hybridization of statistical and intelligent models for time series forecasting43 cited
  • 2023Forecasting volatility by using wavelet transform, ARIMA and GARCH models42 cited