A novel composite forecasting framework by adaptive data preprocessing and optimized nonlinear grey Bernoulli model for new energy vehicles sales
暂无分享,去创建一个
[1] Wenqing Wu,et al. Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model , 2019, Renewable Energy.
[2] Song Ding,et al. Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model , 2021, Eng. Appl. Artif. Intell..
[3] Lingling Pei,et al. An optimised grey buffer operator for forecasting the production and sales of new energy vehicles in China. , 2019, The Science of the total environment.
[4] R. Eberhart,et al. Comparing inertia weights and constriction factors in particle swarm optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[5] Li-Chang Hsu,et al. A genetic algorithm based nonlinear grey Bernoulli model for output forecasting in integrated circuit industry , 2010, Expert Syst. Appl..
[6] Yaoguo Dang,et al. Grey-Markov prediction model based on background value optimization and central-point triangular whitenization weight function , 2018, Commun. Nonlinear Sci. Numer. Simul..
[7] Lingcun Kong,et al. Comparison study on the nonlinear parameter optimization of nonlinear grey Bernoulli model (NGBM(1, 1)) between intelligent optimizers , 2018, Grey Syst. Theory Appl..
[8] F. Diebold,et al. Comparing Predictive Accuracy , 1994, Business Cycles.
[9] Song Ding,et al. A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting , 2021 .
[10] Chun-I Chen,et al. Forecasting Taiwan's major stock indices by the Nash nonlinear grey Bernoulli model , 2010, Expert Syst. Appl..
[11] Weijie Zhou,et al. The grey generalized Verhulst model and its application for forecasting Chinese pig price index , 2020, Soft Comput..
[12] Cui Li-zhi. New strengthening buffer operators and their applications , 2010 .
[13] Andrew Lewis,et al. Grey Wolf Optimizer , 2014, Adv. Eng. Softw..
[14] Song Ding,et al. A novel discrete grey multivariable model and its application in forecasting the output value of China's high-tech industries , 2019, Comput. Ind. Eng..
[15] Chong Li,et al. Comparative analysis of properties of weakening buffer operators in time series prediction models , 2019, Commun. Nonlinear Sci. Numer. Simul..
[16] Chun-I Chen,et al. Application of game theory on parameter optimization of the novel two-stage Nash nonlinear grey Bernoulli model , 2015, Commun. Nonlinear Sci. Numer. Simul..
[17] Li Yun Wu,et al. Some New Research on the Strengthening Buffer Operators , 2013 .
[18] Zheng-Xin Wang,et al. An optimized Nash nonlinear grey Bernoulli model for forecasting the main economic indices of high technology enterprises in China , 2013, Comput. Ind. Eng..
[19] Bo Zeng,et al. A new-structure grey Verhulst model: Development and performance comparison , 2020 .
[20] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[21] Zheng-Xin Wang,et al. Modelling the nonlinear relationship between CO2 emissions and economic growth using a PSO algorithm-based grey Verhulst model , 2019, Journal of Cleaner Production.
[22] Yuhong Li,et al. Parameter optimization of nonlinear grey Bernoulli model using particle swarm optimization , 2009, Appl. Math. Comput..
[23] Sifeng Liu,et al. Multi-variable weakening buffer operator and its application , 2016, Inf. Sci..
[24] Timothy D. Sauer,et al. Time-Scale Separation from Diffusion-Mapped Delay Coordinates , 2013, SIAM J. Appl. Dyn. Syst..
[25] Sifeng Liu,et al. Grey system model with the fractional order accumulation , 2013, Commun. Nonlinear Sci. Numer. Simul..
[26] Tang Xue-wen,et al. Study on the Buffer Weakening Operator , 2004 .
[27] Meng Li,et al. Performance Analysis and Parameter Selection of PSO Algorithms , 2016 .
[28] Ioan Cristian Trelea,et al. The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..
[29] Dang Yao-guo. A kind of new weakening buffer operators and their applications , 2008 .
[30] Xin Ma,et al. A novel kernel regularized nonhomogeneous grey model and its applications , 2017, Commun. Nonlinear Sci. Numer. Simul..
[31] Francisco Herrera,et al. A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization , 2009, J. Heuristics.
[32] Sifeng Liu,et al. A new method to mitigate data fluctuations for time series prediction , 2019 .
[33] Yong Wang,et al. Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China , 2019, J. Comput. Appl. Math..
[34] Liu Si-feng,et al. The GM models that x(n) be taken as initial value , 2004 .
[35] Shuo-Pei Chen,et al. Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1, 1) , 2008 .
[36] Gao Yan,et al. Establishment and applications of the new strengthening buffer operators with exponential type , 2009, 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009).
[37] Keith W. Hipel,et al. Forecasting China's electricity consumption using a new grey prediction model , 2018 .
[38] Lu Yang,et al. Understanding cumulative sum operator in grey prediction model with integral matching , 2020, Commun. Nonlinear Sci. Numer. Simul..
[39] Seyed Mohammad Mirjalili,et al. The Ant Lion Optimizer , 2015, Adv. Eng. Softw..
[40] Song Ding,et al. Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model , 2020 .