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The impact of preprocessing on support vector regression and neural networks in time series prediction
8 references·0 citing·33 second hop
The impact of preprocessing on support vector regression and neural networks in time series prediction (2006)The impact of preprocessing on support ve…Improved supply chain management based on hybrid demand forecasts (2005)Improved supply chain managem…The accuracy of a procedural approach to specifying feedforward neural networks for forecasting (2004)The accuracy of a procedural …Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…Out-of-sample tests of forecasting accuracy: an analysis and review (2000)Out-of-sample tests of foreca…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Data preprocessing and intelligent data analysis (1997)Data preprocessing and intell…Designing a neural network for forecasting financial and economic time series (1996)Designing a neural network fo…Feedforward Neural Nets as Models for Time Series Forecasting (1993)Feedforward Neural Nets as Mo…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)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)Forecasting methods and applications (1993)A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis (2008)SVR with hybrid chaotic genetic algorithms for tourism demand forecasting (2010)Machine learning demand forecasting and supply chain performance (2020)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)An artificial neural network (p,d,q) model for timeseries forecasting (2009)An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010)Forecasting: theory and practice (2022)Representation and Understanding: Studies in Cognitive Science (1975)Fuzzy Set Theory and Its Applications (1993)Motivations and Performance Conditions for Ethnic Entrepreneurship (2002)An integrated data preparation scheme for neural network data analysis (2006)Data analytic approach for bankruptcy prediction (2019)A neural network model for bankruptcy prediction (1990)Support vector machine with adaptive parameters in financial time series forecasting (2003)Predicting the Price of Bitcoin Using Machine Learning (2018)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)The M3-Competition: results, conclusions and implications (2000)Exponential smoothing: The state of the art—Part II (2006)A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition (2012)A quantile regression neural network approach to estimating the conditional density of multiperiod returns (2000)A simulation study of artificial neural networks for nonlinear time-series forecasting (2001)Designing an artificial neural network for forecasting tourism time series (2005)A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns (2006)Performance modeling of mobile phone providers: a DEA-ANN combined approach (2014)
this work references cited by second hop

References

  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1996Designing a neural network for forecasting financial and economic time series1,092 cited
  • 2000Out-of-sample tests of forecasting accuracy: an analysis and review1,014 cited
  • 2003Neural network forecasting for seasonal and trend time series987 cited
  • 1993Feedforward Neural Nets as Models for Time Series Forecasting378 cited
  • 2005Improved supply chain management based on hybrid demand forecasts312 cited
  • 1997Data preprocessing and intelligent data analysis243 cited
  • 2004The accuracy of a procedural approach to specifying feedforward neural networks for forecasting55 cited

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