论文部分内容阅读
Polynomial smooth vector machine (PSSVM) is an important model for classifying problems. It is an important work how to solve PSSVM more effectively. In this paper, a modified Newton-Armijo algorithm (MNAA) is proposed to solve PPSVM. It is shown by the theoretical analyses and numerical experiments that MNAA achieves a faster computation efficiency than classical Newton-Armijo algorithm (NAA). Furthermore, MNAA achieves a better computation efficiency obviously than that of [1], it is an improvement to the Newton-Armijo of [1].
It is an important work how to solve PSSVM more effectively. In this paper, a modified Newton-Armijo algorithm (MNAA) is proposed to solve PPSVM. It is an important work how to solve PSSVM more effectively. the theoretical analyzes and numerical experiments that MNAA achieves a faster computation efficiency than classical Newton-Armijo algorithm (NAA). Furthermore, MNAA achieves a better computation efficiency obviously than that of [1], it is an improvement to the Newton-Armijo of [ 1].