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Neural network forecasting of short, noisy time series
2 references·14 citing·32 second hop
Neural network forecasting of short, noisy time series (1992)Neural network forecasting of short, nois…Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Error measures for generalizi…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…Demand forecasting for fashion products: A systematic review (2023)Demand forecasting for fashio…A novel hybrid model combining β S A R M A and LSTM for time series forecasting (2023)A novel hybrid model combinin…Stock Index Prediction Based on Time Series Decomposition and Hybrid Model (2022)Stock Index Prediction Based …Forecasting tourism demand using search query data: A hybrid modelling approach (2019)Forecasting tourism demand us…A new model selection strategy in time series forecasting with artificial neural networks: IHTS (2015)A new model selection strateg…Intelligent Sales Prediction for Pharmaceutical Distribution Companies: A Data Mining Based Approach (2014)Intelligent Sales Prediction …Hybridizing Exponential Smoothing and Neural Network for Financial Time Series Predication (2006)Hybridizing Exponential Smoot…Customer Demand Forecasting via Support Vector Regression Analysis (2005)Customer Demand Forecasting v…Residential property price time series forecasting with neural networks (2002)Residential property price ti…Neural Networks for Time-Series Forecasting (2001)Neural Networks for Time-Seri…A data mining approach to financial time series modelling and forecasting (2001)A data mining approach to fin…Financial decision support with hybrid genetic and neural based modeling tools (1997)Financial decision support wi…A neural network approach to forecasting model selection (1995)A neural network approach to …Neural network system for forecasting method selection (1994)Neural network system for for…Statistical Forecasting for Inventory Control. (1960)Exponential smoothing: The state of the art (1985)Time series forecasting using a hybrid ARIMA and neural network model (2003)CURRENCY CRISIS FORECASTING WITH GENERAL REGRESSION NEURAL NETWORKS (2006)Hybrid Support Vector Regression and Autoregressive Integrated Moving Average Models Improved by Particle Swarm Optimization for Property Crime Rates Forecasting with Economic Indicators (2013)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Multiple Attribute Decision Making: Methods and Applications (1981)A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters (2020)Forecasting with artificial neural networks: (1998)Forecasting methods and applications (1993)Neural Network Time Series: Forecasting of Financial Markets (1994)Time Series Analysis, Forecasting and Control. (1971)Accuracy of Forecasting: An Empirical Investigation (1979)Mining the Banking Customer Behavior Using Clustering and Association Rules Methods (2010)Long-term business cycle forecasting through a potential intuitionistic fuzzy least-squares support vector regression approach (2012)Machine learning for satisficing operational decision making: A case study in blood supply chain (2023)The Combination of Forecasts (1969)Combining forecasts: A review and annotated bibliography (1990)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Forecasting tourist arrivals: Google Trends meets mixed-frequency data (2019)Forecasting daily attraction demand using big data from search engines and social media (2021)Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors? (2022)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)An Experimental Application of the DELPHI Method to the Use of Experts (1963)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting (2024)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)
this work references cited by second hop

References

  • 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

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  • 2001Neural Networks for Time-Series Forecasting62 cited
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  • 2022Stock Index Prediction Based on Time Series Decomposition and Hybrid Model57 cited
  • 2014Intelligent Sales Prediction for Pharmaceutical Distribution Companies: A Data Mining Based Approach53 cited
  • 1995A neural network approach to forecasting model selection49 cited
  • 1994Neural network system for forecasting method selection

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48 cited
  • 2001A data mining approach to financial time series modelling and forecasting45 cited
  • 1997Financial decision support with hybrid genetic and neural based modeling tools39 cited