A novel elastic net-based NGBMC(1, n) model with multi-objective optimization for nonlinear time series forecasting
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Yong Wang | Bo Zeng | Lang Yu | Xin Ma | Wenqing Wu | B. Zeng | Yong Wang | Lang Yu | Wenqing Wu | Xin Ma
[1] Tzu-Li Tien,et al. A research on the grey prediction model GM(1, n) , 2012, Appl. Math. Comput..
[2] Giuliano Armano,et al. Multiobjective clustering analysis using particle swarm optimization , 2016, Expert Syst. Appl..
[3] H. Zou. The Adaptive Lasso and Its Oracle Properties , 2006 .
[4] Tzu-Li Tien,et al. The indirect measurement of tensile strength of material by the grey prediction model GMC(1, n) , 2005 .
[5] Hsin-Chia Fu,et al. Forecasting Russian renewable, nuclear, and total energy consumption using improved nonlinear grey Bernoulli model , 2013 .
[6] Utkucan Şahin,et al. Forecasting the cumulative number of confirmed cases of COVID-19 in Italy, UK and USA using fractional nonlinear grey Bernoulli model , 2020, Chaos, Solitons & Fractals.
[7] Xin Ma,et al. A novel Grey Bernoulli model for short-term natural gas consumption forecasting , 2020 .
[8] Wang Jilong,et al. Short-term wind speed forecasting based on spectral clustering and optimised echo state networks , 2015 .
[9] K. Lewis,et al. Pareto analysis in multiobjective optimization using the collinearity theorem and scaling method , 2001 .
[10] Huan Guo,et al. A research on a comprehensive adaptive grey prediction model CAGM(1, N) , 2013, Appl. Math. Comput..
[11] Zheng-Xin Wang,et al. A Predictive Analysis of Clean Energy Consumption, Economic Growth and Environmental Regulation in China Using an Optimized Grey Dynamic Model , 2015 .
[12] Sifeng Liu,et al. A prediction method for plasma concentration by using a nonlinear grey Bernoulli combined model based on a self-memory algorithm , 2019, Comput. Biol. Medicine.
[13] Wenqing Wu,et al. A novel hyperbolic time-delayed grey model with Grasshopper Optimization Algorithm and its applications , 2020 .
[14] Jie Xia,et al. Application of a new information priority accumulated grey model with time power to predict short-term wind turbine capacity , 2019, Journal of Cleaner Production.
[15] Qiang Ji,et al. Forecasting China's natural gas demand based on optimised nonlinear grey models , 2017 .
[16] Mark Goh,et al. Parameter optimization for nonlinear grey Bernoulli model on biomass energy consumption prediction , 2020, Appl. Soft Comput..
[17] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[18] Wenqing Wu,et al. Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model , 2019, Renewable Energy.
[19] Sifeng Liu,et al. Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model , 2015 .
[20] Ying Tang,et al. Meta-Reinforcement Learning of Machining Parameters for Energy-Efficient Process Control of Flexible Turning Operations , 2021, IEEE Transactions on Automation Science and Engineering.
[21] Qin Li,et al. Forecasting Quarterly Sales Volume of the New Energy Vehicles Industry in China Using a Data Grouping Approach-Based Nonlinear Grey Bernoulli Model , 2019, Sustainability.
[22] Emadaldin Mohammadi Golafshani,et al. Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves , 2018, Journal of Cleaner Production.
[23] Sifeng Liu,et al. Grey system model with the fractional order accumulation , 2013, Commun. Nonlinear Sci. Numer. Simul..
[24] Yong Wang,et al. A novel conformable fractional non-homogeneous grey model for forecasting carbon dioxide emissions of BRICS countries. , 2019, The Science of the total environment.
[25] Bo Zeng,et al. A new multivariable grey prediction model with structure compatibility , 2019, Applied Mathematical Modelling.
[26] Leandro dos Santos Coelho,et al. Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization , 2016, Expert Syst. Appl..
[27] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[28] Yong Wang,et al. Research on a novel fractional GM(α, n) model and its applications , 2019, Grey Syst. Theory Appl..
[29] R. Tibshirani,et al. REJOINDER TO "LEAST ANGLE REGRESSION" BY EFRON ET AL. , 2004, math/0406474.
[30] Wenqing Wu,et al. The conformable fractional grey system model. , 2018, ISA transactions.
[31] Yu Hu,et al. Forecasting manufacturing industrial natural gas consumption of China using a novel time-delayed fractional grey model with multiple fractional order , 2020, Computational and Applied Mathematics.
[32] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[33] Satish Chandra,et al. Multi-objective Grey Wolf Optimizer for improved cervix lesion classification , 2017, Appl. Soft Comput..
[34] Tzu-Li Tien. The indirect measurement of tensile strength for a higher temperature by the new model IGDMC(1, n) , 2008 .
[35] Nicolai Meinshausen,et al. Relaxed Lasso , 2007, Comput. Stat. Data Anal..
[36] Jianqing Fan,et al. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .
[37] Wann-Yih Wu,et al. A prediction method using the grey model GMC(1, n) combined with the grey relational analysis: a case study on Internet access population forecast , 2005, Appl. Math. Comput..
[38] Mao Shu-hu,et al. Fractional order accumulation time-lag GM(1,N,τ) model and its application , 2015 .
[39] Wang Zheng-xin. Multivariable time-delayed GM(1, ) model and its application , 2015 .
[40] Tzu-Li Tien,et al. The deterministic grey dynamic model with convolution integral DGDMC(1, n) , 2009 .
[41] Suhua Zeng,et al. A novel forecasting approach based on multi-kernel nonlinear multivariable grey model: A case report , 2020 .
[42] 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..
[43] 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 .
[44] Shohei Tateishi,et al. Tuning parameter selection in sparse regression modeling , 2013, Comput. Stat. Data Anal..
[45] Chun-I Chen,et al. Application of trembling-hand perfect equilibrium to Nash nonlinear Grey Bernoulli model: an example of BRIC’s GDP forecasting , 2017, Neural Computing and Applications.
[46] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[47] Surendra M. Gupta,et al. Estimation of electronic waste using optimized multivariate grey models. , 2019, Waste management.
[48] Xin Ma,et al. Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China , 2017, J. Comput. Appl. Math..
[49] Utkucan Şahin. Future of renewable energy consumption in France, Germany, Italy, Spain, Turkey and UK by 2030 using optimized fractional nonlinear grey Bernoulli model , 2020, Sustainable Production and Consumption.
[50] Mohammadamin Azimi,et al. Prediction of offshore wind farm power using a novel two-stage model combining kernel-based nonlinear extension of the Arps decline model with a multi-objective grey wolf optimizer , 2020 .
[51] Bin Liu,et al. Forecasting Clean Energy Consumption in China by 2025: Using Improved Grey Model GM (1, N) , 2020 .
[52] Yuhong Li,et al. Parameter optimization of nonlinear grey Bernoulli model using particle swarm optimization , 2009, Appl. Math. Comput..
[53] Jianzhou Wang,et al. A novel hybrid system based on multi-objective optimization for wind speed forecasting , 2020 .
[54] Gene H. Golub,et al. Generalized cross-validation as a method for choosing a good ridge parameter , 1979, Milestones in Matrix Computation.
[55] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[56] Yingjie Yang,et al. Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China , 2018 .
[57] Yi Shen,et al. Regularized multivariable grey model for stable grey coefficients estimation , 2015, Expert Syst. Appl..
[58] Deng Ju-Long,et al. Control problems of grey systems , 1982 .
[59] Zheng-Xin Wang,et al. Nonlinear Grey Prediction Model with Convolution Integral NGMC (1, n) and Its Application to the Forecasting of China's Industrial SO2 Emissions , 2014, J. Appl. Math..