计算机工程与应用2009，Vol.45Issue(33)：42-44,47,4.DOI:10.3778/j.issn.1002-8331.2009.33.014
基于粒子群算法的Logistic回归模型参数估计
Parameter estimation method of logistic regression models based on particle swarm optimization algorithm
刘锦萍 1郁金祥2
作者信息
- 1. 华东师范大学,计算机科学系,上海,200062
- 2. 嘉兴学院,数学与信息工程学院,浙江嘉兴,314001
- 折叠
摘要
Abstract
In order to solve the computing complex problems of the parameter estimation to the logistic regression models,a novel method to estimate parameter is presented based on particle swarm optimization algorithm.Maximum likelihood estimation is adopted to be fitness function for the optimization problem.Thus the model of computing parameter to the logistic regression mod-els is set up.The numerical simulation results show that PSO algorithm can be used to calculate the parameters of the logistic regression models.关键词
粒子群优化算法/参数估计/Logistic回归模型/最大似然估计Key words
particle swarm optimization/parameter estimation /logistic regression models/maximum likelihood estimation分类
数理科学引用本文复制引用
刘锦萍,郁金祥..基于粒子群算法的Logistic回归模型参数估计[J].计算机工程与应用,2009,45(33):42-44,47,4.
