Search Results - subject:"Support vector regression"

Nikoo, Mohammad; Karimi, Akbar; Kerachian, Reza; … - In: Water Resources Management 27 (2013) 8, pp. 2771-2784

releases and water withdrawal from river and aquifer for different conditions, and M5P and Support Vector Regression (SVR) data …

Persistent link: https://www.econbiz.de/10010997813

Du, Shichang; Lv, Jun - In: International Journal of Production Economics 141 (2013) 1, pp. 377-387

auto-correlated processes. Support vector regression (SVR) is used to predict the values of a variable in time series …

Persistent link: https://www.econbiz.de/10010594389

Kim, Seoung Bum; Jitpitaklert, Weerawat; Chen, Victoria C.P. - In: European Journal of Industrial Engineering 7 (2013) 4, pp. 442-455

mining models. The data mining models used in this study include support vector regression and artificial neural networks. A …

Persistent link: https://www.econbiz.de/10010676315

Emir, Senol - In: International Journal of Finance & Banking Studies 2 (2013) 3, pp. 111-117

The aim of this study to examine the performance of Support Vector Regression (SVR) which is a novel regression method …

Persistent link: https://www.econbiz.de/10010681605

Wei, Dali; Liu, Hongchao - In: Transportation Research Part B: Methodological 47 (2013) C, pp. 1-14

This paper presents a self-learning Support Vector Regression (SVR) approach to investigate the asymmetric …

Persistent link: https://www.econbiz.de/10010608655

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

Decomposition (EEMD), Multivariate Adaptive Regression Splines (MARS) and Support Vector Regression (SVR) model in order to forecast …

Persistent link: https://www.econbiz.de/10011245923

Gkonkas, Periklēs - In: Economics & finance notes 2 (2013) 1/2, pp. 1-13

Persistent link: https://www.econbiz.de/10010426277

Emir, Şenol - In: International journal of finance & banking studies : JJFBS 2 (2013) 3, pp. 111-117

Persistent link: https://www.econbiz.de/10010532333

Che, Jinxing; Wang, Jianzhou; Wang, Guangfu - In: Energy 37 (2012) 1, pp. 657-664

strong learning capacity of support vector regression (SVR) for small sample and balanced data, this paper presents an …

Persistent link: https://www.econbiz.de/10010808176

Hu, Jing; Mitchell, John; Pang, Jong-Shi; Yu, Bin - In: Journal of Global Optimization 53 (2012) 1, pp. 29-51

Persistent link: https://www.econbiz.de/10010896420

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