A novel kernel regularized nonhomogeneous grey model and its applications
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Xin Ma | Zhibin Liu | Yi-sheng Hu | Xin Ma | Zhibin Liu | Yi Hu
[1] Jie Cui,et al. A novel grey forecasting model and its optimization , 2013 .
[2] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[3] Peng-Yu Chen,et al. Foundation Settlement Prediction Based on a Novel NGM Model , 2014 .
[4] Johan A. K. Suykens,et al. Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[5] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[6] Sifeng Liu,et al. Discrete grey forecasting model and its optimization , 2009 .
[7] Deng Ju-Long,et al. Control problems of grey systems , 1982 .
[8] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[9] Michael E. Tipping. Sparse Bayesian Learning and the Relevance Vector Machine , 2001, J. Mach. Learn. Res..
[10] B. Scholkopf,et al. Fisher discriminant analysis with kernels , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).
[11] J. Suykens,et al. Partially linear models and least squares support vector machines , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
[12] Cha'o-Kuang Chen,et al. The Indirect Measurement of Tensile Strength by the Deterministic Grey Dynamic Model Dgdm(1, 1, 1) , 1997, Int. J. Syst. Sci..
[13] Lifeng Wu,et al. The effect of sample size on the grey system model , 2013 .
[14] Johan A. K. Suykens,et al. Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis , 2002, Neural Computation.
[15] Johan A. K. Suykens,et al. Kernel based partially linear models and nonlinear identification , 2005, IEEE Transactions on Automatic Control.
[16] Jeffrey Forrest,et al. A brief introduction to grey systems theory , 2011, Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services.
[17] Liu Si-feng,et al. Novel grey forecasting model and its modeling mechanism , 2009 .
[18] Yanbin Zhang,et al. Performance evaluation of kernel functions based on grid search for support vector regression , 2015, 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM).
[19] Kyoung Kwan Ahn,et al. An accurate signal estimator using a novel smart adaptive grey model SAGM(1, 1) , 2012, Expert Syst. Appl..
[20] Bernhard Schölkopf,et al. Learning with kernels , 2001 .
[21] Zhibin Liu,et al. Predicting the Cumulative Oil Field Production Using the Novel Grey ENGM Model , 2016 .
[22] Xin Ma,et al. An algorithm based on the GM(1,1) model on increasing oil production of measures operation for a single well , 2013, Proceedings of 2013 IEEE International Conference on Grey systems and Intelligent Services (GSIS).
[23] Johan A. K. Suykens,et al. Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.
[24] Johan A. K. Suykens,et al. A support vector machine formulation to PCA analysis and its kernel version , 2003, IEEE Trans. Neural Networks.
[25] Tzu-Li Tien,et al. A new grey prediction model FGM(1, 1) , 2009, Math. Comput. Model..
[26] Carl E. Rasmussen,et al. Gaussian Processes for Machine Learning (GPML) Toolbox , 2010, J. Mach. Learn. Res..
[27] Keith W. Hipel,et al. An optimized NGBM(1,1) model for forecasting the qualified discharge rate of industrial wastewater in China , 2011 .
[28] Chaoqing Yuan,et al. On novel grey forecasting model based on non-homogeneous index sequence , 2013 .