Support vector regression (SVR) is well known as a or prediction tool under the Machine Learning (ML) which preserves all key features through training data. Different from general prediction, here, we proposed SVR to predict new approximate solutions after generated some iterates using an iterative method called Lanczos algorithm, one class of Krylov solvers. As know that solvers, including me...

Abstract Many researchers have shown interest in profile monitoring; however, most of the applications this field research are developed under assumption normal response variable. Little attention has been given to monitoring with non-normal variables, known as general linear models which consists two main categories (i.e., logistic and Poisson profiles). This paper aims monitor problem Phase I...