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Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting
15 references·0 citing·35 second hop
Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting (2014)Evolutionary optimization of sparsely con…Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations (2012)Forecasting seasonal time ser…A new time invariant fuzzy time series forecasting method based on particle swarm optimization (2012)A new time invariant fuzzy ti…A vector forecasting model for fuzzy time series (2010)A vector forecasting model fo…A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)A novel hybridization of arti…A new Bayesian formulation for Holt's exponential smoothing (2008)A new Bayesian formulation fo…Internet Traffic Forecasting using Neural Networks (2006)Internet Traffic Forecasting …Evolving Time Series Forecasting ARMA Models (2004)Evolving Time Series Forecast…The Forecast Pro methodology (2000)The Forecast Pro methodologyForecasting with artificial neural networks: (1998)Forecasting with artificial n…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyForecasting methods and applications (1993)Forecasting methods and appli…Long-range forecasting (1986)Long-range forecastingLong-Range Forecasting. (1979)Long-Range Forecasting.Long-Range Forecasting. (1979)Long-Range Forecasting.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 (1977)Short-Term Price Forecasting For Agro-products Using Artificial Neural Networks (2010)Layered Ensemble Architecture for Time Series Forecasting (2015)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Intelligent Hybrid Model to Enhance Time Series Models for Predicting Network Traffic (2020)Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation (2023)Time series forecasting using a hybrid ARIMA and neural network model (2003)A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data (2014)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)An optimized model using LSTM network for demand forecasting (2020)Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with fuzzy time series — part II (1994)Forecasting enrollments based on fuzzy time series (1996)Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships (2014)Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms (2017)Designing fuzzy time series forecasting models: A survey (2019)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Comparing for Different Time Series Methods the Value of Technical Expertise Individualized Analysis, and Judgmental Adjustment (1983)Good Judgment in International Politics: Three Psychological Perspectives (1992)A systematic assessment of rigor in information systems ranking-type Delphi studies (2013)Findings from evidence-based forecasting: Methods for reducing forecast error (2006)Illusions in regression analysis (2012)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Testing the equality of prediction mean squared errors (1997)Consumption, Aggregate Wealth, and Expected Stock Returns (2001)Deep learning with long short-term memory networks for financial market predictions (2017)
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References

  • 1994Comparing Predictive Accuracy5,495 cited
  • 1995Comparing Predictive Accuracy5,214 cited
  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1993Forecasting methods and applications2,393 cited
  • 2010A novel hybridization of artificial neural networks and ARIMA models for time series forecasting825 cited
  • 1979Long-Range Forecasting.203 cited
  • 2012A new time invariant fuzzy time series forecasting method based on particle swarm optimization138 cited
  • 2006Internet Traffic Forecasting using Neural Networks119 cited
  • 1979Long-Range Forecasting.93 cited
  • 2004Evolving Time Series Forecasting ARMA Models88 cited
  • 1986Long-range forecasting77 cited
  • 2012Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations61 cited
  • 2000The Forecast Pro methodology40 cited
  • 2008A new Bayesian formulation for Holt's exponential smoothing38 cited
  • 2010A vector forecasting model for fuzzy time series35 cited

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