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FORECASTING TIME SERIES DATA USING HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL
16 references·1 citing·34 second hop
FORECASTING TIME SERIES DATA USING HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL (2007)FORECASTING TIME SERIES DATA USING HYBRID…A comparative study of autoregressive neural network hybrids (2005)A comparative study of autore…A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid ARIMA and support ve…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…A comparative study of linear and nonlinear models for aggregate retail sales forecasting (2003)A comparative study of linear…Combining neural network model with seasonal time series ARIMA model (2002)Combining neural network mode…A simulation study of artificial neural networks for nonlinear time-series forecasting (2001)A simulation study of artific…Time-Series Forecasting (2000)Time-Series ForecastingForecasting with artificial neural networks: (1998)Forecasting with artificial n…Introduction to Grey system theory (1989)Introduction to Grey system t…DIAGNOSTIC CHECKING ARMA TIME SERIES MODELS USING SQUARED‐RESIDUAL AUTOCORRELATIONS (1983)DIAGNOSTIC CHECKING ARMA TIME…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…Control problems of grey systems (1982)Control problems of grey syst…Long Range Forecasting (From Crystal Ball to Computer). (1981)Long Range Forecasting (From …Long-Range Forecasting: From Crystal Ball to Computer (1979)Long-Range Forecasting: From …Experience with Forecasting Univariate Time Series and the Combination of Forecasts (1974)Experience with Forecasting U…The Combination of Forecasts (1969)The Combination of ForecastsForecasting on Crude Palm Oil Prices Using Artificial Intelligence Approaches (2013)Forecasting on Crude Palm Oil…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)Time Series Analysis Forecasting and Control. (1971)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables (1970)Time Series Analysis: Forecasting and Control (1977)Testing for Nonlinear Dependence in Daily Foreign Exchange Rates (1989)Chaos and Nonlinear Dynamics: Application to Financial Markets (1991)ARCH MODELS: PROPERTIES, ESTIMATION AND TESTING (1993)Exponential smoothing: The state of the art (1985)Combining forecasts: A review and annotated bibliography (1990)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Forecasting methods and applications (1993)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Bayesian Forecasting (1976)Tests for Forecast Encompassing (1998)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Vague sets are intuitionistic fuzzy sets (1996)Application of decision-making techniques in supplier selection: A systematic review of literature (2012)Fuzzy best-worst multi-criteria decision-making method and its applications (2017)25 years of time series forecasting (2006)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)The use of grey relational analysis in solving multiple attribute decision-making problems (2008)Integrating sustainability into supplier selection with grey system and rough set methodologies (2009)Multi-Criteria Decision Making (MCDM) Methods and Concepts (2023)Forecasting Daily Patient Volumes in the Emergency Department (2008)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)A Survey of Forecast Error Measures (2013)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
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References

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  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 1989Introduction to Grey system theory4,260 cited
  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1969The Combination of Forecasts3,194 cited
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  • 1974Experience with Forecasting Univariate Time Series and the Combination of Forecasts849 cited
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  • 2002Combining neural network model with seasonal time series ARIMA model345 cited
  • 2001A simulation study of artificial neural networks for nonlinear time-series forecasting336 cited
  • 2003A comparative study of linear and nonlinear models for aggregate retail sales forecasting246 cited
  • 1979Long-Range Forecasting: From Crystal Ball to Computer226 cited

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  • 2005A comparative study of autoregressive neural network hybrids219 cited
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    • 2013Forecasting on Crude Palm Oil Prices Using Artificial Intelligence Approaches29 cited