53 search results - page 1 / 11 » Support Vector Machine for Regression and Applications to Fi... |
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
HICSS
2006
IEEE
13 years 11 months ago
2006
IEEE
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...
JCP
2008
13 years 5 months ago
2008
Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as...
IWANN
2005
Springer
13 years 10 months ago
2005
Springer
Based on the Nystr¨om approximation and the primal-dual formulation of Least Squares Support Vector Machines (LS-SVM), it becomes possible to apply a nonlinear model to a large sc...