TITLE:
Optimization Model and Algorithm for Multi-Label Learning
AUTHORS:
Zhengyang Li
KEYWORDS:
Operations Research, Multi-Label Learning, Linear Equations Solving, Optimization Algorithm
JOURNAL NAME:
Journal of Applied Mathematics and Physics,
Vol.9 No.5,
May
20,
2021
ABSTRACT: This paper studies a kind of urban security risk assessment model based on multi-label learning, which is transformed into the solution of linear equations through a series of transformations, and then the solution of linear equations is transformed into an optimization problem. Finally, this paper uses some classical optimization algorithms to solve these optimization problems, the convergence of the algorithm is proved, and the advantages and disadvantages of several optimization methods are compared.