Search Results - subject:"Least squares support vector machines"

A New Two-Stage Approach to Short Term Electrical Load Forecasting

Božić, Miloš; Stojanović, Miloš; Stajić, Zoran; … - In: Energies 6 (2013) 4, pp. 2130-2148

-stage approach for short-term electrical load forecasting based on least-squares support vector machines. With the aim of improving …

Persistent link: https://www.econbiz.de/10011030922

AN INTEGRATED MODEL USING WAVELET DECOMPOSITION AND LEAST SQUARES SUPPORT VECTOR MACHINES FOR MONTHLY CRUDE OIL PRICES FORECASTING

BAO, YEJING; ZHANG, XUN; YU, LEAN; LAI, KIN KEUNG; … - In: New Mathematics and Natural Computation (NMNC) 07 (2011) 02, pp. 299-311

In this paper, a hybrid model integrating wavelet decomposition and least squares support machines (LSSVM) is proposed for crude oil price forecasting. In this model, the Haar à trous wavelet transform is first selected to decompose an original time series into several sub-series with different...

Persistent link: https://www.econbiz.de/10009131024

A heuristic method for parameter selection in LS-SVM: Application to time series prediction

Rubio, Ginés; Pomares, Héctor; Rojas, Ignacio; … - In: International Journal of Forecasting 27 (2011) 3, pp. 725-739

Least Squares Support Vector Machines (LS-SVM) are the state of the art in kernel methods for regression. These models …

Persistent link: https://www.econbiz.de/10011051478

The Curse of Scoreless Draws in Soccer: The Relationship with a Team's Offensive, Defensive, and Overall Performance

Calster, Ben Van; Smits, Tim; Huffel, Sabine Van - In: Journal of Quantitative Analysis in Sports 4 (2008) 1, pp. 4-4

competitions around the world, Bayesian networks, least squares support vector machines and Hybrid Monte Carlo multi …

Persistent link: https://www.econbiz.de/10005459192

Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting

Espinoza, Marcelo; Suykens, Johan; Moor, Bart - In: Computational Management Science 3 (2006) 2, pp. 113-129

Persistent link: https://www.econbiz.de/10005596522