Search Results - subject:"Support vector regression"

Forecasting the U.S. Real House Price Index

Plakandaras, Vasilios; Gupta, Rangan; Gogas, Periklis; … - Department of Economics, Faculty of Economic and … - 2014

Vector Regression (SVR) methodology that originates from machine learning. We test the forecasting ability of the proposed … methodology that combines the Ensemble Empirical Mode Decomposition (EEMD) from the field of signal processing with the Support …

Persistent link: https://www.econbiz.de/10010942822

Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach

Chen, Kuilin; Yu, Jie - In: Applied Energy 113 (2014) C, pp. 690-705

uncertainty of wind speed. In this study, unscented Kalman filter (UKF) is integrated with support vector regression (SVR) based …–UKF approach, support vector regression is first employed to formulate a nonlinear state-space model and then unscented Kalman …

Persistent link: https://www.econbiz.de/10010718924

Short-term forecasting of air passeneger by using hybrid seasonal decomposition and least squares support vector regression approaches

Xie, Gang; Wang, Shouyang; Lai, Kin Keung - In: Journal of air transport management 37 (2014), pp. 20-26

Persistent link: https://www.econbiz.de/10010372391

A novel time-series model based on empirical mode decomposition for forecasting TAIEX

Cheng, Ching-hsue; Wei, Liang-ying - In: Economic modelling 36 (2014), pp. 136-141

Persistent link: https://www.econbiz.de/10010412424

Inflation and unemployment forecasting with genetic support vector regression

Sermpinis, Georgios; Stasinakis, Charalampos; … - In: Journal of forecasting 33 (2014) 6, pp. 471-487

Persistent link: https://www.econbiz.de/10010426238

Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects

Sermpinis, Georgios; Stasinakis, Charalampos; Dunis, … - In: Journal of international financial markets, … 30 (2014), pp. 21-54

Persistent link: https://www.econbiz.de/10011293055

Short-term load forecasting using SVR (support vector regression)-based radial basis function neural network with dual extended Kalman filter

Ko, Chia-Nan; Lee, Cheng-Ming - In: Energy 49 (2013) C, pp. 413-422

paper presents a hybrid algorithm which combines SVR (support vector regression), RBFNN (radial basis function neural …

Persistent link: https://www.econbiz.de/10010808210

Forecasting the NOK/USD Exchange Rate with Machine Learning Techniques

Papadimitriou, Theophilos; Gogas, Periklis; … - Department of Economics, Democritus University of Thrace - 2013

under a Machine Learning (ML) framework. By applying Support Vector Regression (SVR) on a general monetary exchange rate …

Persistent link: https://www.econbiz.de/10010840500

Selecting rows and columns for training support vector regression models with large retail datasets

Gür Ali, Özden; Yaman, Kübra - In: European Journal of Operational Research 226 (2013) 3, pp. 471-480

Although support vector regression models are being used successfully in various applications, the size of the business … support vector regression models with standard SVM tools. ROCSA uses ε-SVR models with L1-norm regularization of the dual and …

Persistent link: https://www.econbiz.de/10011052484

Multi-step-ahead prediction of NOx emissions for a coal-based boiler

Smrekar, J.; Potočnik, P.; Senegačnik, A. - In: Applied Energy 106 (2013) C, pp. 89-99

Until 2016 power plants within the EU will have to meet new limits on emissions as dictated by EU regulations. One of the major challenges is to reduce emissions of nitrogen oxides (NOx) due to health and ozone-formation concerns. Combustion optimisation is one of the primary measures for...

Persistent link: https://www.econbiz.de/10011040875