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HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR FORECASTING TIME-SERIES DATA
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HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR FORECASTING TIME-SERIES DATA (2009)HYBRID GREY RELATIONAL ARTIFICIAL NEURAL …25 years of time series forecasting (2006)25 years of time series forec…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…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…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…Forecasting methods for management (1990)Forecasting methods for manag…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 …Experience with Forecasting Univariate Time Series and the Combination of Forecasts (1974)Experience with Forecasting U…The Combination of Forecasts (1969)The Combination of ForecastsIntelligent techniques for forecasting multiple time series in real‐world systems (2011)Intelligent techniques for fo…Book Review: Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)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)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Stock Price Prediction Using the ARIMA Model (2014)The Precision of National Income Estimates (1942)New Methods of Quality Control (1963)Short-Term Sales Forecasting (1965)Principles of Forecasting (2001)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)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)Generalized autoregressive conditional heteroskedasticity (1986)Introduction to Time Series and Forecasting (2002)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)On the use of cross-validation for time series predictor evaluation (2012)Forecasting at Scale (2017)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Forecasting methods and applications (1993)Another look at measures of forecast accuracy (2006)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)DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications (2018)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)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
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  • 2001

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A simulation study of artificial neural networks for nonlinear time-series forecasting
342 cited

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  • 2011Intelligent techniques for forecasting multiple time series in real‐world systems25 cited