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A genetic algorithm-based grey method for forecasting food demand after snow disasters: an empirical study
16 references·0 citing·37 second hop
A genetic algorithm-based grey method for forecasting food demand after snow disasters: an empirical study (2013)A genetic algorithm-based grey method for…The necessary and sufficient condition for GM(1,1) grey prediction model (2013)The necessary and sufficient …Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model (2012)Forecasting of CO2 emissions,…Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case (2011)Forecasting short-term electr…An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition (2010)An approach to increase predi…Neural network based temporal feature models for short-term railway passenger demand forecasting (2008)Neural network based temporal…Forecasting the turning time of stock market based on Markov–Fourier grey model (2008)Forecasting the turning time …Discrete grey forecasting model and its optimization 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syst…Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)The M3-Competition: results, conclusions and implications (2000)Principles of Forecasting (2001)Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)A comparative study of machine learning classifiers for modeling travel mode choice (2017)Book Review: Time Series Analysis: Forecasting and Control (1977)Statistical analysis of cointegration vectors (1988)Testing for a Unit Root in Time Series Regression (1988)How industrialization and urbanization process impacts on CO 2 emissions in China: Evidence from nonparametric additive regression models (2015)Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model (2016)Investigating 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References

  • 1982Control problems of grey systems4,534 cited
  • 2005Grey Information: Theory and Practical Applications711 cited
  • 2008Discrete grey forecasting model and its optimization508 cited
  • 2007Grey prediction with rolling mechanism for electricity demand forecasting of Turkey442 cited
  • 2012Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model361 cited
  • 2002Predicting stock price using fuzzy grey prediction system270 cited
  • 2003Applying the Grey prediction model to the global integrated circuit industry261 cited
  • 2008Neural network based temporal feature models for short-term railway passenger demand forecasting211 cited
  • 2011Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case192 cited
  • 2007Using genetic algorithms grey theory to forecast high technology industrial output169 cited
  • 2003Forecast of the output value of Taiwan's opto-electronics industry using the Grey forecasting model168 cited
  • 2004The GM models that x(n) be taken as initial value143 cited
  • 2010An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition134 cited
  • 2013The necessary and sufficient condition for GM(1,1) grey prediction model125 cited

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  • 2008Forecasting the turning time of stock market based on Markov–Fourier grey model90 cited
  • 2006Forecasting the output of integrated circuit industry using a grey model improved by the Bayesian analysis88 cited
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