节点文献
基于粒子群优化理论的可靠性分布模型的极大似然参数估计法
Maximum likelihood method for parameter estimation of reliability distribution model based on particle swarm optimization theory
【摘要】 针对有些复杂分布模型采用常规极大似然法很难直接进行参数估计,将粒子群优化理论引入极大似然法,提出了基于粒子群优化算法的新的参数估计方法,并通过实例模拟论证了该方法的可行性与有效性。
【Abstract】 It is difficult to perform parameter estimation directly for some complicated models using conventional maximum likelihood method.Particle swarm optimization(PSO) theory was introduced into the maximum likelihood method,and a new parameter estimation method based on PSO algorithm was proposed.This method was proved to be feasible and effective through simulation example.
【关键词】 机床;
分布模型;
参数估计;
极大似然法;
粒子群优化;
【Key words】 tool machine; distribution model; parameter estimation; maximum likelihood method; particle swarm optimization(PSO);
【Key words】 tool machine; distribution model; parameter estimation; maximum likelihood method; particle swarm optimization(PSO);
【基金】 “863”国家高技术研究发展计划项目(2007AA04Z402)
- 【文献出处】 吉林大学学报(工学版) ,Journal of Jilin University(Engineering and Technology Edition) , 编辑部邮箱 ,2009年S1期
- 【分类号】O213.2
- 【被引频次】22
- 【下载频次】458