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Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs)
16 references·9 citing·34 second hop
Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs) (2012)Hybridization of autoregressive integrate…A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)A novel hybridization of arti…A hybrid SARIMA wavelet transform method for sales forecasting (2010)A hybrid SARIMA wavelet trans…An artificial neural network (p,d,q) model for timeseries forecasting (2009)An artificial neural network …Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)Improvement of Auto-Regressiv…A new hybrid artificial neural networks and fuzzy regression model for time series forecasting (2007)A new hybrid artificial neura…A hybrid SARIMA and support vector machines in forecasting the production values of the machinery industry in Taiwan (2006)A hybrid SARIMA and support v…A hybrid model for exchange rate prediction (2005)A hybrid model for exchange r…A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)A novel nonlinear ensemble fo…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…Combining neural network model with seasonal time series ARIMA model (2002)Combining neural network mode…Insights into neural-network forecasting of time series corresponding to ARMA(p,q) structures (2001)Insights into neural-network …Empirical exchange rate models of the seventies (1983)Empirical exchange rate model…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…The Combination of Forecasts (1969)The Combination of ForecastsCombining Three Estimates of Gross Domestic Product (1968)Combining Three Estimates of …S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA (2020)S&P BSE Sensex and S&P BSE IT…Neural forecasting: Introduction and literature overview. 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this work references cited by second hop

References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 1983Empirical exchange rate models of the seventies4,115 cited
  • 1969The Combination of Forecasts3,194 cited
  • 2004A hybrid ARIMA and support vector machines model in stock price forecasting1,000 cited
  • 2010A novel hybridization of artificial neural networks and ARIMA models for time series forecasting825 cited
  • 2009An artificial neural network (p,d,q) model for timeseries forecasting785 cited
  • 2002Combining neural network model with seasonal time series ARIMA model345 cited
  • 2008Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)299 cited
  • 2004A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates259 cited
  • 2006A hybrid SARIMA and support vector machines in forecasting the production values of the machinery industry in Taiwan208 cited
  • 2007A new hybrid artificial neural networks and fuzzy regression model for time series forecasting207 cited
  • 2010A hybrid SARIMA wavelet transform method for sales forecasting156 cited
  • 2005A hybrid model for exchange rate prediction155 cited

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  • 2001Insights into neural-network forecasting of time series corresponding to ARMA(p,q) structures123 cited
  • 1968Combining Three Estimates of Gross Domestic Product122 cited
  • Cited by

    • 2020Neural forecasting: Introduction and literature overview.68 cited
    • 2018Predicting Closed Price Time Series Data Using ARIMA Model64 cited
    • 2020S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA48 cited
    • 2017Performance evaluation of series and parallel strategies for financial time series forecasting47 cited
    • 2014Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting46 cited
    • 2018Dow Jones Trading with Deep Learning: The Unreasonable Effectiveness of Recurrent Neural Networks46 cited
    • 2018A least squares-based parallel hybridization of statistical and intelligent models for time series forecasting43 cited
    • 2016A Combination of Models for Financial Crisis Prediction: Integrating Probabilistic Neural Network with Back-Propagation based on Adaptive Boosting20 cited
    • 2018Manufacturer’s printing forecast, reprinting decision, and contract design in the educational publishing industry19 cited