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Neural Networks for Time-Series Forecasting
16 references·0 citing·37 second hop
Neural Networks for Time-Series Forecasting (2001)Neural Networks for Time-Series Forecasti…Rule-based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations (2007)Rule-based Forecasting: Devel…Principles of Forecasting (2001)Principles of ForecastingEvaluating Forecasting Methods (2001)Evaluating Forecasting MethodsTime Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Time Series Forecasting with …How effective are neural networks at forecasting and prediction? A review and evaluation (1998)How effective are neural netw…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Neural Network Models for Time Series Forecasts (1996)Neural Network Models for Tim…Designing a neural network for forecasting financial and economic time series (1996)Designing a neural network fo…Neural networks in the capital markets (1995)Neural networks in the capita…Time series forecasting using neural networks (1994)Time series forecasting using…The M2-competition: A real-time judgmentally based forecasting study (1993)The M2-competition: A real-ti…Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Error measures for generalizi…Connectionist approach to time series prediction: an empirical test (1992)Connectionist approach to tim…Time series forecasting using neural networks vs. Box- Jenkins methodology (1991)Time series forecasting using…Forecasting methods for management (1990)Forecasting methods for manag…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…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)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Averages of Forecasts: Some Empirical Results (1983)The use of data mining and neural networks for forecasting stock market returns (2005)Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm (2010)A neural network model for bankruptcy prediction (1990)A case study on using neural networks to perform technical forecasting of forex (2000)The application of neural networks to forecast fuzzy time series (2005)Neural network ensemble operators for time series forecasting (2014)Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Time Series Analysis Forecasting and Control. (1971)Improved supply chain management based on hybrid demand forecasts (2005)Improving artificial neural networks’ performance in seasonal time series forecasting (2008)Machine learning demand forecasting and supply chain performance (2020)The Combination of Forecasts (1969)Exponential smoothing: The state of the art (1985)Combining forecasts: A review and annotated bibliography (1990)Forecasting methods and applications (1993)Support vector machine with adaptive parameters in financial time series forecasting (2003)Predicting the Price of Bitcoin Using Machine Learning (2018)Forecasting: theory and practice (2022)Theory and applications of the Delphi technique: A bibliography (1975–1994) (1996)Combining neural network model with seasonal time series ARIMA model (2002)Earthquake devastation and recovery in tourism: the Taiwan case (2002)Neural network techniques for financial performance prediction: integrating fundamental and technical analysis (2003)Designing an artificial neural network for forecasting tourism time series (2005)Using the R-MAPE index as a resistant measure of forecast accuracy (2013)A state space framework for automatic forecasting using exponential smoothing methods (2002)Making and Evaluating Point Forecasts (2011)A new metric of absolute percentage error for intermittent demand forecasts (2016)Expert Opinions in Forecasting: The Role of the Delphi Technique (2001)Consensus measurement in Delphi studies (2012)Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods (2012)
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References

  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition1,465 cited
  • 1992Error measures for generalizing about forecasting methods: Empirical comparisons1,400 cited
  • 2001Principles of Forecasting1,178 cited
  • 1996Designing a neural network for forecasting financial and economic time series1,092 cited
  • 1996Neural Network Models for Time Series Forecasts468 cited
  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation451 cited
  • 1998Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data419 cited
  • 1991Time series forecasting using neural networks vs. Box- Jenkins methodology407 cited
  • 1990Forecasting methods for management352 cited
  • 2007Rule-based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations277 cited
  • 1993The M2-competition: A real-time judgmentally based forecasting study264 cited
  • 1995Neural networks in the capital markets221 cited
  • 2001Evaluating Forecasting Methods183 cited
  • 1992Connectionist approach to time series prediction: an empirical test

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179 cited
  • 1994Time series forecasting using neural networks178 cited
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