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Forecasting the economic indices of the high-tech industries in China using the grey multivariable convolution model
16 references·3 citing·38 second hop
Forecasting the economic indices of the high-tech industries in China using the grey multivariable convolution model (2022)Forecasting the economic indices of the h…Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting (2021)Application of a novel struct…The damping accumulated grey model and its application (2020)The damping accumulated grey …Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model (2020)Estimating Chinese energy-rel…A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting (2020)A novel adaptive discrete gre…A new-structure grey Verhulst model for China’s tight gas production forecasting (2020)A new-structure grey Verhulst…A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China (2019)A novel fractional time delay…Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application (2018)Improved multi-variable grey …Grey multivariable convolution model with new information priority accumulation (2018)Grey multivariable convolutio…A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors (2018)A seasonal GM(1,1) model for …A novel discrete grey multivariable model and its application in forecasting the output value of China’s high-tech industries (2018)A novel discrete grey multiva…Grey forecasting method of quarterly hydropower production in China based on a data grouping approach (2017)Grey forecasting method of qu…Development of an optimization method for the GM(1,N) model (2016)Development of an optimizatio…An improved grey multivariable model for predicting industrial energy consumption in China (2016)An improved grey multivariabl…Using genetic algorithms grey theory to forecast high technology industrial output (2007)Using genetic algorithms grey…The indirect measurement of tensile strength of material by the grey prediction model GMC(1,n) (2005)The indirect measurement of t…Control problems of grey systems (1982)Control problems of grey syst…Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model (2024)Multi-step carbon emissions f…Application of the novel-structured multivariable grey model with various orders to forecast the bending strength of concrete (2023)Application of the novel-stru…A novel discrete multivariable grey model with spatial proximity effects for economic output forecast (2022)A novel discrete multivariabl…Using genetic algorithms to find technical trading rules (1999)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Product-form design model based on 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this work references cited by second hop

References

  • 1982Control problems of grey systems4,503 cited
  • 2018A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors280 cited
  • 2019A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China265 cited
  • 2020A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting218 cited
  • 2007Using genetic algorithms grey theory to forecast high technology industrial output169 cited
  • 2018Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application161 cited
  • 2017Grey forecasting method of quarterly hydropower production in China based on a data grouping approach148 cited
  • 2020Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model144 cited
  • 2018A novel discrete grey multivariable model and its application in forecasting the output value of China’s high-tech industries135 cited
  • 2016Development of an optimization method for the GM(1,N) model123 cited
  • 2016An improved grey multivariable model for predicting industrial energy consumption in China120 cited
  • 2005The indirect measurement of tensile strength of material by the grey prediction model GMC(1,n)117 cited
  • 2020A new-structure grey Verhulst model for China’s tight gas production forecasting

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113 cited
  • 2018Grey multivariable convolution model with new information priority accumulation107 cited
  • 2021Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting105 cited
  • 2020The damping accumulated grey model and its application94 cited
  • Cited by

    • 2022A novel discrete multivariable grey model with spatial proximity effects for economic output forecast31 cited
    • 2023Application of the novel-structured multivariable grey model with various orders to forecast the bending strength of concrete31 cited
    • 2024Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model30 cited