Identification of a high efficiency boiler by support vector machines without bias term

Abstract This paper considers the application of support vector machines for the identification of the nonlinear dynamic behavior of a high efficiency boiler. A new algorithm for the computation of support vector machines without bias term is proposed. Whereas the advantages of this concept are known in classification, it has been hardly made use of for regression. The main intention is to provide a simulation tool for the development engineer.