Solving a quadratic programming problem using support vector regression algorithm

  • Fernández Cariola
Keywords: Quadratic programming problem, vector regression algorithm, model-based application, uncertainties

Abstract

In machine learning, we usually hope that the obtained sample data are as precise as possible in order to construct an
exact model. For example, the system model often guides real applications in complex industrial process. And the
success of the model-based applications generally depends on how exactly models reproduce the behavior of the real
industrial process that they represent.

Published
2019-01-01