Weibull Distribution Parameter Estimation of the Algorithm Based on the Improved Flies

被引：0

作者：

Ji Xiu ^{[1
,2
]}

Wang Hui ^{[1
,2
]}

Zhao Chuan-qi ^{[1
,2
]}

Si Yuan ^{[1
,2
]}

机构：

[1] Changchun Inst Technol, Coll Elect & Informat Engn, Changchun 130012, Peoples R China

[2] Publ Technol Res & Dev Ctr Distribut Equipment Au, Changchun 130012, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS | 2015年 / 13卷

关键词：

Weibull distribution; Parameter estimation; Maximum likelihood estimation; Fruit flies optimization algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on weibull distribution model parameters of maximum likelihood estimation process trival, is obtained by using the Newton method and adopting the particle swarm optimization algorithm is easy to fall into premature and program variables is more complicated problems in the implementation, put optimization algorithm is introduced into maximum likelihood method, and to improve the conventional fruit flies algorithm is introduced into step length factor, put forward the optimization algorithm based on improved fruit flies weibull distribution parameters estimation method, and compared with Newton's method and were compared with normal flies algorithm of particle swarm optimization (pso), the feasibility and effectiveness of the method is verified by examples.

引用

页码：647 / 654

页数：8