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Study of the grey Verhulst model based on the weighted least square method
7 references·3 citing·34 second hop
Study of the grey Verhulst model based on the weighted least square method (2019)Study of the grey Verhulst model based on…Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model (2019)Forecasting short-term renewa…Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China (2018)Application of a novel nonlin…An optimized nonlinear grey Bernoulli model and its applications (2015)An optimized nonlinear grey B…Improvement of grey models by least squares (2011)Improvement of grey models by…Unbiased Grey Verhulst Model and Its Application (2009)Unbiased Grey Verhulst Model …2007 IEEE International Conference on Grey Systems and Intelligent Services (2007)2007 IEEE International Confe…Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1,1) (2006)Forecasting of foreign exchan…A novel structure adaptive discrete grey Bernoulli model and its application in renewable energy power generation prediction (2024)A novel structure adaptive di…A novel grey Verhulst model with four parameters and its application to forecast the carbon dioxide emissions in China (2023)A novel grey Verhulst model w…Unemployment Rates Forecasting with Grey-Based Models in the Post-COVID-19 Period: A Case Study from Vietnam (2021)Unemployment Rates Forecastin…The GM models that x(n) be taken as initial value (2004)Discrete GM(1,1) and Mechanism of Grey Forecasting Model (2005)Hybrid grey prediction model-based autotracking algorithm for the laparoscopic visual window of surgical robot (2018)A Novel Riccati Equation Grey Model And Its Application In Forecasting Clean Energy (2020)Grey optimization Verhulst model and its application in forecasting coal-related CO2 emissions (2020)Control problems of grey systems (1982)Introduction to Grey system theory (1989)Grey system theory-based models in time series prediction (2009)Predicting product demand from small-sized data: grey models (2017)An optimized discrete grey multi-variable convolution model and its applications (2021)Exchange rates and fundamentals: Evidence on long-horizon predictability (1995)A case study on using neural networks to perform technical forecasting of forex (2000)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)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Financial time series forecasting using support vector machines (2003)A nonlinear grey forecasting model with double shape parameters and its application (2019)A novel grey Riccati–Bernoulli model and its application for the clean energy consumption prediction (2020)Forecasting fuel combustion-related CO2 emissions by a novel continuous fractional nonlinear grey Bernoulli model with grey wolf optimizer (2021)Time Series Analysis: Forecasting and Control. (1978)Time series analysis forecasting and control (2009)A novel discrete grey multivariable model and its application in forecasting the output value of China’s high-tech industries (2018)Whether carbon intensity in the commercial building sector decouples from economic development in the service industry? Empirical evidence from the top five urban agglomerations in China (2019)A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector (2021)Grey Systems: Theory and Applications (2011)Grey system model with the fractional order accumulation (2012)A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting (2020)Forecasting: theory and practice (2022)Reassessing the Ins and Outs of Unemployment (2007)Early evidence of the impacts of COVID-19 on minority unemployment (2020)A new-structure grey Verhulst model for China’s tight gas production forecasting (2020)The conformable fractional grey system model (2019)Evaluating remanufacturing industry of China using an improved grey fixed weight clustering method-a case of Jiangsu Province (2016)Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications (2018)Fuzzy normalization-based Multi-Attributive Border Approximation Area Comparison (2024)
this work references cited by second hop

References

  • 2006Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1,1)283 cited
  • 2019Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model279 cited
  • 2018Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China161 cited
  • 2015An optimized nonlinear grey Bernoulli model and its applications69 cited
  • 2009Unbiased Grey Verhulst Model and Its Application56 cited
  • 20072007 IEEE International Conference on Grey Systems and Intelligent Services54 cited
  • 2011Improvement of grey models by least squares30 cited

Cited by

  • 2021Unemployment Rates Forecasting with Grey-Based Models in the Post-COVID-19 Period: A Case Study from Vietnam27 cited
  • 2023A novel grey Verhulst model with four parameters and its application to forecast the carbon dioxide emissions in China26 cited
  • 2024A novel structure adaptive discrete grey Bernoulli model and its application in renewable energy power generation prediction25 cited

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