Support Vector Regression for Controller Approximation

Recently, the support vector machine (SVM) that is a new learning methodology based on Vapnik Chervonenkis (VC) theory is proposed. With introducing Vapnik's epsiv-insensitive loss function, the SVM has been extended to solve a nonlinear regression estimation problem, called the support vector regre... View More